JP7087179B1 - Information processing equipment, information processing methods and information processing programs - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an information processing device, an information processing method and an information processing program for providing contents according to a user. An information processing device 100 that acquires user information and transaction target information from an external device 20 and receives a search query input by a user from a terminal device 10 in an information processing system 1 is provided with a determination unit 133. It has a portion 134. The determination unit 133 determines a target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query, based on the user information of the user who entered the search query. The providing unit 134 provides content indicating the ranking of the target transaction target determined by the determining unit 133. [Selection diagram] FIG. 9

Description

The present invention relates to an information processing apparatus, an information processing method and an information processing program.

Conventionally, techniques for providing various information to users have been known. For example, a technique for displaying a ranking of search results corresponding to a query input by a user is provided (for example, Patent Document 1).

Japanese Patent No. 6776072

However, there is room for improvement in the above-mentioned prior art. In the above-mentioned prior art, only the content including the ranking of the search result corresponding to the query entered by the user is provided, and the content including the ranking according to the user who entered the query can be provided. It is difficult, and it is desired to provide content according to the user.

The present application has been made in view of the above, and an object thereof is an information processing device, an information processing method, and an information processing program capable of providing content according to a user.

The information processing apparatus according to the present application is a determination unit that determines a target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query based on the user information of the user who entered the search query. , A providing unit that provides content indicating the ranking of the target transaction target determined by the determination unit.

According to one aspect of the embodiment, there is an effect that the content according to the user can be provided.

FIG. 1 is a diagram showing an example of information processing executed by the information processing apparatus according to the embodiment. FIG. 2 is a diagram showing an example of content. FIG. 3 is a diagram showing an example of ranking of transaction targets from a plurality of perspectives. FIG. 4 is a diagram showing an example of search results and ranking. FIG. 5 is a diagram showing an example of search results and ranking. FIG. 6 is a diagram showing an example of search results and ranking. FIG. 7 is a diagram showing an example of search results and ranking. FIG. 8 is a diagram showing the concept of ranking based on products. FIG. 9 is a diagram showing a configuration example of the information processing system according to the embodiment. FIG. 10 is a diagram showing an example of a user information storage unit according to an embodiment. FIG. 11 is a diagram showing an example of a transaction target information storage unit according to an embodiment. FIG. 12 is a diagram showing an example of a content storage unit according to an embodiment. FIG. 13 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 14 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 15 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 16 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 17 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 18 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 19 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus. FIG. 20 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device.

Hereinafter, an information processing apparatus, an information processing method, and an embodiment for implementing an information processing program (hereinafter referred to as “embodiments”) according to the present application will be described in detail with reference to the drawings. Note that this embodiment does not limit the information processing apparatus, information processing method, and information processing program according to the present application. In addition, each embodiment can be appropriately combined as long as the processing contents do not contradict each other. Further, in each of the following embodiments, the same parts are designated by the same reference numerals, and duplicate explanations are omitted.

(Embodiment)
[1. An example of information processing]
First, an example of information processing executed by the information processing apparatus 100 will be described with reference to FIG. FIG. 1 is a diagram showing an example of information processing executed by the information processing apparatus 100 according to the embodiment. The information processing apparatus 100 executes information processing regarding a transaction target traded by an electronic commerce (EC) service. Here, the transaction target is the use of goods or services. The transaction targets traded by the electronic commerce service include transaction targets traded in various modes such as an electronic shopping street (online mall), an online shopping site, an auction site, and a free market site. Note that FIG. 1 shows, as an example, information processing for a transaction target traded in an electronic shopping district.

[1-1. Information processing overview]
First, an outline of the flow of information processing performed by the information processing apparatus 100 will be described. The information processing device 100 provides information to the user by using a search query (also simply referred to as "query") input by the user who uses the terminal device 10. Specifically, the information processing apparatus 100 arranges a tab (also referred to as a "first tab") in which search results corresponding to the search query entered by the user are arranged, and a ranking of transaction targets corresponding to the search query. Generate content that includes tabs (also referred to as "second tabs"). Then, the information processing apparatus 100 provides the content including the generated first tab and the second tab. The flow of information processing performed by the information processing apparatus 100 will be described with reference to FIG.

In FIG. 1, a case where the information processing device 100 functions as a search device for providing search results to the terminal device 10 used by the user who has input a query will be described as an example. For example, the information processing apparatus 100 has a function as a search engine that executes a search process for a transaction target traded in an electronic shopping district. For example, the information processing apparatus 100 has a database (also referred to as a “transaction target database”) in which a transaction target to be a search process using a query is indexed and stored, and targets information in the transaction target database. Execute the search process as. For example, the information of the transaction target database is stored in the storage unit 120 (see FIG. 9).

As described above, FIG. 1 describes a case where the information processing device 100 also functions as a search device, that is, the information processing device 100 and the search device are integrated, but the information processing device 100 and the search device are separate. There may be. In this case, the information processing system 1 (see FIG. 9) includes a search device that executes a search process for a query and provides a search service that provides search results. For example, the information processing device 100 transmits a query input by a user to a search device, receives a search result from the search device, and transmits content generated using the search result to a terminal device 10 used by the user. do. For example, when the external device 20 is a search device, the information processing device 100 sends a query input by the user to the external device 20, receives a search result from the external device 20, and generates content using the search result. Is transmitted to the terminal device 10 used by the user. The above system configuration is only an example, and the information processing system 1 may have any device configuration as long as it can provide desired information to the user who has input the query.

First, the information processing device 100 acquires information about the user (also referred to as "user information") from the external device 20 (step S1). The external device 20 transmits user information about the user to the information processing device 100. For example, the external device 20 transmits user information including user attribute information to the information processing device 100. For example, the attribute information includes various information such as information indicating demographic attributes such as age, gender, residential area, and occupation, and information indicating psychographic attributes such as interest / interest and lifestyle. The attribute information is only an example, and the user information may include any information as long as it is information about the user. For example, the user information may include a history of user behavior such as behavior on the Internet. For example, the user information may include a user's behavior history such as a browsing history of information about a transaction target in an electronic commerce service such as an electronic shopping street and a purchase history.

Further, the information processing apparatus 100 acquires information regarding a transaction target (also referred to as “transaction target information”) from the external device 20 (step S2). For example, the information processing device 100 acquires the transaction target information of the transaction target traded in the electronic shopping district from the external device 20. For example, the information processing device 100 acquires the transaction target information of the transaction target being sold (exhibited) in the electronic shopping district from the external device 20. For example, the information processing device 100 acquires the transaction target information of the transaction target from the external device 20 at predetermined intervals.

Here, the transaction target information includes various information regarding the transaction target. For example, the transaction target information includes various information used for providing the transaction target information. For example, the transaction target information includes the seller, the selling price, the image of the transaction target, the category, the title, the description, the payment method, the sales period, the number of units sold, and the like.

Further, for example, the transaction target information includes a sales history of the transaction target. For example, the transaction target information includes information such as the number of reservations, the number of orders, the number of sales, and the order amount (sales) of the transaction target. In addition, for example, the transaction target information includes the period elapsed from the date and time when the transaction target was sold, the number of views (PV (page views)) of the information indicating the transaction target, the number of reviews for the transaction target, the evaluation for the transaction target, and the like. Information is included.

In addition, the transaction target information may include information on external factors related to the transaction target. For example, the transaction target information may include information posted on a transaction target in an SNS (Social Networking Service). For example, the transaction target information may include posted information posted by a user on SNS. For example, the posted information may be text information posted by a user on Twitter (registered trademark), Facebook (registered trademark), Instagram (registered trademark), YouTube (registered trademark), etc., or image information such as images and videos. There may be. For example, the transaction target information may include information on the number of searches related to the transaction target.

In addition, the transaction target information may include information on internal factors related to the transaction target. For example, the transaction target information may include information on incentives for the transaction target. For example, the transaction target information may include incentive information given to the user for the transaction target. For example, the transaction target information may include information on a coupon for which the transaction target is targeted. For example, the transaction target information may include information on price reductions related to the transaction target. The above is only an example, and the transaction target information may include any information as long as it is information related to the transaction target.

In the above example, the information processing device 100 has described an example in which the acquisition process is performed separately in steps S1 and S2, but the information processing device 100 trades with user information from the external device 20. You may acquire the target information at the same time.

Further, the information processing apparatus 100 receives the search query input by the user from the terminal apparatus 10 (step S3). For example, the terminal device 10 transmits the search query input by the user to the information processing device 100. For example, the terminal device 10 used by the user U1 transmits the search query input by the user U1 to the information processing device 100. As a result, the information processing apparatus 100 acquires the search query input by the user U1. In FIG. 1, the user U1 inputs the search query “TV” to the terminal device 10, and the terminal device 10 transmits the search query “TV” input by the user U1 to the information processing device 100. For example, the user U1 inputs the search query "television" in the input field for inputting the search query such as the search box BX1 in FIG.

Then, the information processing apparatus 100 that has received the search query "television" performs a process for providing information to the user. In FIG. 1, the information processing apparatus 100 generates a search result by a search process using the search query “television” (step S4). The information processing apparatus 100 uses the information in the transaction target database to extract transaction target information corresponding to the search query "television". For example, the information processing apparatus 100 performs a search process using the search query "television" for the transaction target database, and extracts the transaction target information corresponding to the search query "television". For example, the information processing apparatus 100 extracts transaction target information including information such as a character string corresponding to the search query "TV" in the transaction target information.

It should be noted that the information corresponding to the query is extracted by using the conventional technique, and any process may be used as long as the transaction target can be specified, and detailed description thereof will be omitted. When the search process is performed by a device (search device) other than the information processing device 100, the information processing device 100 sends a search query "television" to the search device, and the search device outputs the search result of the search query "television". Receive. The information processing apparatus 100 uses the transaction target information extracted as the information corresponding to the search query "television" to generate the search result of the search query "television". For example, the information processing apparatus 100 generates the transaction target list information of the extracted transaction target information as the search result of the search query "television".

Further, the information processing apparatus 100 generates a ranking of transaction targets corresponding to the search query "television" (step S5). For example, the information processing apparatus 100 ranks each transaction target as a target for ranking the transaction target included in the search result of the search process using the search query "television" (also referred to as "ranking target"). Generates a ranking. For example, the information processing apparatus 100 calculates a score for each transaction target to be ranked, and generates a ranking of the transaction target using the calculated score. For example, the information processing apparatus 100 generates a ranking by assigning a higher ranking in order from the highest score.

For example, the information processing apparatus 100 calculates the score of the transaction target based on the transaction target information regarding the transaction target. The information processing apparatus 100 calculates the score of the transaction target by using a function (also referred to as a “score function”) that inputs the transaction target information of the transaction target and outputs the score of the transaction target. The information processing apparatus 100 calculates the score of the transaction target by using a score function in which the output value increases as a plurality of factors such as the number of orders to be traded, the order amount, and the number of views (PV number) increase. You may.

For example, the information processing apparatus 100 is a value obtained by multiplying each of a plurality of elements such as the number of orders to be traded, the order amount, the number of views (number of PVs), and the weight (coefficient) of each element (also referred to as "partial score"). ) Is used to calculate the score of the transaction target. The information processing apparatus 100 may calculate the sum of the partial scores of each of the plurality of elements to be traded as the score to be traded. The information processing apparatus 100 may calculate the average of the partial scores of each of the plurality of elements of the transaction target as the score of the transaction target.

Further, the information processing apparatus 100 calculates the score of the transaction target using the aggregated value aggregated for each predetermined period for each of the plurality of elements such as the number of orders to be traded, the order amount, and the number of views (number of PVs). You may. The information processing apparatus 100 may calculate the score of the transaction target by using the aggregated value aggregated for each date for each of the plurality of elements of the transaction target. In this case, the information processing apparatus 100 trades using the aggregated value of a plurality of elements of the transaction target aggregated for each predetermined period and the value obtained by multiplying the weight (coefficient) of each element (also referred to as "period score"). The score of the target may be calculated. The information processing apparatus 100 may calculate the score of the transaction target using the value obtained by multiplying the period score of each period by the attenuation coefficient according to the difference between the period and the calculation time point. The information processing apparatus 100 may calculate the score of the transaction target using the value obtained by multiplying the period score of each period by the attenuation coefficient whose value becomes smaller in the past period.

The above is only an example, and the information processing apparatus 100 may use any information to calculate the score of the transaction target. The information processing apparatus 100 may correct the score of the transaction target by using the calculated score of the transaction target with a coefficient based on the evaluation of the seller (store) that sells the transaction target. The information processing apparatus 100 may correct the score of the transaction target by multiplying the calculated score of the transaction target by a coefficient based on the evaluation of the seller who sells the transaction target.

Then, the information processing apparatus 100 generates the content to be provided to the user by using the search result of the search query "television" and the ranking of the transaction target corresponding to the search query "television" (step S6). The information processing apparatus 100 generates content including a first tab in which a search result of the search query "television" is arranged and a second tab in which a ranking of transaction targets corresponding to the search query "television" is arranged.

Then, the information processing apparatus 100 provides the content including the generated first tab and the second tab (step S7). The information processing device 100 transmits the generated contents including the first tab and the second tab to the terminal device 10 used by the user who has input the search query "television".

Here, an example of the content provided to the terminal device 10 will be described with reference to FIG. FIG. 2 is a diagram showing an example of content. The content C1 in FIG. 2 includes a first tab content (not shown) in which the search results of the search query “TV” are arranged, and a second tab content C2 in which the ranking of transaction targets corresponding to the search query “TV” is arranged. Content that includes. Further, the search query "television" entered by the user is arranged in the search box BX1 of the content C1 of FIG.

Further, the content C1 of FIG. 2 includes a first heading TB1 and a second heading TB2 for switching and displaying the first tab content and the second tab content C2. Either the first heading TB1 or the second heading TB2 can be selected, and in the display area AR1 of the content C1, the first tab content or the first tab content or the first tab content or the second heading TB2 is selected according to the user's selection of the first heading TB1 or the second heading TB2. One of the second tab contents is displayed.

In FIG. 2, the information processing apparatus 100 displays the first tab content, the second tab content C2, and the first heading TB1 and the second heading TB2 for switching between the first tab content and the second tab content C2. Generate content C1 to include. Then, the information processing apparatus 100 includes the first tab content, the second tab content C2, and the content including the first heading TB1 and the second heading TB2 for switching and displaying the first tab content and the second tab content C2. C1 is transmitted to the terminal device 10. The terminal device 10 that has received the content C1 from the information processing device 100 displays the content C1.

As shown in FIG. 2, the first heading TB1 is described as "search", and when the first heading TB1 is selected, the first tab content in which the search results are arranged is displayed in the display area AR1. Further, the second heading TB2 is described as "ranking", and when the second heading TB2 is selected, the second tab content in which the ranking of the transaction target is arranged is displayed in the display area AR1.

In FIG. 2, when the first heading TB1 is selected by the user, the first tab content in which the search result of the search query “television” is arranged is displayed in the display area AR1. Further, when the second heading TB2 is selected by the user, the second tab content C2 in which the ranking of the transaction target corresponding to the search query "television" is arranged is displayed in the display area AR1.

FIG. 2 shows a state in which the second heading TB2 is selected, and the terminal device 10 displays the second tab content C2 in which the ranking of the transaction target corresponding to the search query “television” is arranged in the display area AR1. Specifically, in the display area AR1 of the content C1, the second tab content C2 showing the ranking in which the transaction targets corresponding to the search query "television" are arranged in order from the one with the highest score is displayed.

FIG. 2 shows a case where information on a transaction target (referred to as “transaction target G1”) having the highest rank is displayed in the display area AR1 of the content C1. The transaction target G1 is a television X sold by the seller SA. The sales source SA is, for example, a store that sells in an electronic shopping district. The terminal device 10 displays various information such as the product name, price, and free shipping of the transaction target G1 as the information of the transaction target G1. Further, the terminal device 10 displays the reason information RS1 indicating the reason why the transaction target G1 is ranked first in the vicinity of the information of the transaction target G1, and the details of the reason will be described later.

Note that FIG. 2 shows only the information of the transaction target G1 having the first rank, but in the second tab content C2, the transaction target having the second rank is shown below the transaction target G1 having the first rank. Information is arranged, and below that, information indicating a transaction target (television) having a third or higher rank is arranged side by side. For example, the user of the terminal device 10 scrolls the display downward in the display area AR1 by touching the display screen of the terminal device 10 and performing a scroll operation, and the transaction target of the second or higher rank in the display area AR1. Information indicating (television) can be displayed. The above operation of the user is only an example, and the terminal device 10 can accept any operation by the user as long as the display in the display area AR1 can be changed according to the operation of the user. good.

Further, in FIG. 2, when the user selects the first heading TB1 and the selected heading is switched from the second heading TB2 to the first heading TB1, the terminal device 10 displays the search query “TV” in the display area AR1. The first tab content in which the search results of "" are arranged is displayed. That is, the terminal device 10 switches the display of the display area AR1 from the second tab content C2 to the first tab content in which the search result of the search query "television" is arranged. In the search result of the search query "TV" in the first tab content, transaction targets may be randomly arranged, or transaction targets may be arranged according to arbitrary criteria such as new arrival order and selling order. ..

In this way, the terminal device 10 switches between the first tab content and the second tab content C2 and displays them in the display area AR1 according to the user's selection. That is, the terminal device 10 displays either the first tab content or the second tab content C2 in the display area AR1 of the content C1 according to the user's selection.

As described above, the information processing apparatus 100 provides the user's terminal device 10 with the content C1 that switches between the first tab content and the second tab content C2 and displays the content C1 in the display area AR1 according to the user's selection. do. As a result, the user who uses the terminal device 10 provided with the content C1 displays the first tab content on the terminal device 10 when he / she simply wants to see the search result, and when he / she wants to see the ranking, the first tab content is displayed. 2 The tab content C2 is displayed on the terminal device 10. In the case of the content C1 in which the information is switched and displayed in this way, the user who uses the terminal device 10 switches the display according to the content he / she wants to see, displays the content on the terminal device 10, and confirms the content. be able to. Therefore, the information processing apparatus 100 can provide appropriate contents.

[1-2. Details of various processes]
The details of various processes will be described on the premise of the above-mentioned information processing. The same points as those described above will be omitted as appropriate. In addition, various processes described below may be combined as appropriate. For example, information explaining the reason for the ranking of the transaction target may be provided even in the ranking from a plurality of perspectives described later. The above is only an example, and various processes may be combined in any way as long as the combined processes are possible.

[1-2-1. cut〕
The information processing apparatus 100 is a content indicating a ranking of transaction targets based on a cut (also referred to as a "related cut") having a predetermined relationship with a search query and a search query among a plurality of cuts corresponding to the transaction target. May be provided.

The cut corresponding to the transaction target here is, for example, a viewpoint (viewpoint) for the transaction target. For example, in terms of the cut corresponding to the transaction target, the category, brand, usage scene, specifications (product specifications and functions) to which the transaction target corresponds, problems that can be solved by the transaction target, worries of people that can be solved by the transaction target, etc. , Various perspectives (viewpoints) corresponding to the transaction target are included. In the following, after explaining the process of determining the cut to be displayed in the ranking, the display of the ranking in the determined cut will be described.

The information processing apparatus 100 determines, among a plurality of cuts, a cut having a high degree of relevance to the search query as a related cut. For example, the information processing apparatus 100 determines the degree of relevance to a search query among a plurality of cuts whose relevance score (also simply referred to as “relevance”) indicating the degree of relevance to the search query is equal to or higher than a predetermined threshold value. Decide on a high related cut. For example, the information processing apparatus 100 calculates the degree of relevance of each of a plurality of cuts for a search query by using a predetermined algorithm for calculating the degree of relevance. The information processing apparatus 100 may calculate the degree of relevance of each of a plurality of cuts for a search query by using an algorithm that interprets the intent of the search query and estimates the degree of relevance between the search query and each cut. For example, the information processing apparatus 100 calculates the relevance of each of a plurality of cuts for a search query by using a predetermined algorithm for calculating the normalized relevance. For example, the information processing apparatus 100 calculates the degree of relevance of each of a plurality of cuts for a search query so that the total degree of relevance of each cut is 1.

The above is only an example, and the information processing apparatus 100 may use any information to calculate the degree of relevance between each of the plurality of cuts and the search query. The information processing apparatus 100 may calculate the relevance degree of each of the plurality of cuts for the search query by using the relevance list information in which the relevance degree of each of the plurality of cuts is associated with the keyword. For example, the information processing apparatus 100 may refer to the relevance list information, determine a keyword corresponding to the search query, and use the relevance of each of the plurality of cuts associated with the determined keyword.

For example, the information processing apparatus 100 determines a cut that has a degree of relevance equal to or higher than a predetermined threshold value as a cut that has a high degree of relevance to the search query. For example, when the information processing apparatus 100 has a cut whose degree of relevance is equal to or higher than the first threshold value (for example, 0.5), only the cut is determined as the related cut. In this case, the information processing apparatus 100 provides content including one ranking based on one related cut and a search query.

For example, when the information processing apparatus 100 does not have a cut having a relevance degree of the first threshold value or more, the information processing apparatus 100 determines a cut having a relevance degree of the second threshold value (for example, 0.1) or more and less than the first threshold value as the related cut. For example, when the information processing apparatus 100 has a plurality of cuts (related cuts) having a second threshold value or more and less than the first threshold value, the information processing apparatus 100 includes content including a plurality of rankings (multi-ranking) based on each of the plurality of related cuts and a search query. offer. The information processing apparatus 100 may provide unranked content based on the related cut and the search query when there is no cut whose relevance degree is equal to or higher than the second threshold value. The above is only an example, and the information processing apparatus 100 may determine the ranking to be provided based on any condition. The information processing apparatus 100 does not use the first threshold value, but provides content including a plurality of rankings (multi-ranking) based on each of the related cuts and a search query, with the cuts of the second threshold or higher as the related cuts. May be good.

Based on the above points, information processing according to the cut will be described with reference to FIG. FIG. 3 is a diagram showing an example of ranking of transaction targets from a plurality of perspectives. Note that FIG. 3 shows a state in which each cut is divided for the sake of explanation. FIG. 3 describes the ranking when a plurality of cuts are determined as related cuts. In FIG. 3, a case where the search query is the character string “XXXX” will be described as an example. In FIG. 3, an abstract character string such as the character string "XXXX" will be described, but the character string "XXXX" indicates a predetermined object (in the example of FIG. 4, the name of a predetermined game software series). do.

Further, FIG. 3 shows a case where three cuts of cut # 1, cut # 2, and cut # 3 are determined as related cuts. In FIG. 3, abstract character strings such as cut # 1, cut # 2, and cut # 3 are used, but in the case of FIG. 4, each cut is, for example, "stuffed animal", "hero play", and "trading card". It is information showing a concrete cut such as.

For example, the information processing apparatus 100 corresponds to each of the cut # 1, the cut # 2, and the cut # 3 among the transaction targets (search result transaction targets) included in the search result of the search process using the search query "XXXXX". Determine the transaction target to be traded. For example, the information processing apparatus 100 determines a transaction target corresponding to each of the cut end # 1, the cut end # 2, and the cut end # 3 by using the transaction target information of the search result transaction target.

Here, the transaction target information includes information indicating a cut that corresponds to each transaction target. For example, the transaction target information includes information indicating multiple aspects such as the category, brand, usage scene, specifications, problems that can be solved by the transaction target, and people's worries that can be solved by the transaction target. Is done.

For example, the information processing apparatus 100 refers to the transaction target information of the search result transaction target, and determines (specifies) the transaction target corresponding to each of the cut # 1, the cut # 2, and the cut # 3. The information processing apparatus 100 generates the ranking of the cut # 1 by ranking the transaction target corresponding to the cut # 1 as the ranking target of the cut # 1.

For example, the information processing apparatus 100 calculates a score for a transaction target corresponding to the cut end # 1 to be ranked, and generates a ranking of the cut end # 1 using the calculated score. Since the calculation of the score of the transaction target is the same as the content described in FIG. 1, the description thereof will be omitted. For example, the information processing apparatus 100 generates a ranking of cut # 1 by assigning a higher ranking in order from the highest score.

The list information TA1 shown in FIG. 3 shows a list in which the order of the transaction target, the transaction target ID (Identifier) which is the identification information for identifying the transaction target, and the score are associated with each other. In the list information TA1, the rank "1st place" is the transaction target ID "M34", and the score is "0.94". The rank "second place" is the transaction target ID "M7", and the score is "0.89". The rank "third place" is the transaction target ID "M1", and the score is "0.63". The information processing apparatus 100 uses information as shown in the list information TA1 to generate a ranking of cut # 1.

Similarly, the information processing apparatus 100 generates the ranking of the cut # 2 by ranking the transaction target corresponding to the cut # 2 as the ranking target of the cut # 2. For example, the information processing apparatus 100 calculates a score for a transaction target corresponding to the cut end # 2 to be ranked, and generates a ranking of the cut end # 2 using the calculated score.

The list information TA2 shown in FIG. 3 shows a list in which the order of the transaction target, the transaction target ID which is the identification information for identifying the transaction target, and the score are associated with each other. In the list information TA2, the rank "1st place" is the transaction target ID "M162", and the score is "0.84". The rank "second place" is the transaction target ID "M77", and the score is "0.74". The rank "third place" is the transaction target ID "M18", and the score is "0.68". The information processing apparatus 100 uses information as shown in the list information TA2 to generate a ranking of cut # 2.

Similarly, the information processing apparatus 100 generates the ranking of the cut # 3 by ranking the transaction target corresponding to the cut # 3 as the ranking target of the cut # 3. For example, the information processing apparatus 100 calculates a score for a transaction target corresponding to the cut end # 3 to be ranked, and generates a ranking of the cut end # 3 using the calculated score.

The list information TA3 shown in FIG. 3 shows a list in which the order of the transaction target, the transaction target ID which is the identification information for identifying the transaction target, and the score are associated with each other. In the list information TA3, the rank "1st place" is the transaction target ID "M15", and the score is "0.98". The rank "second place" is the transaction target ID "M41", and the score is "0.79". The rank "third place" is the transaction target ID "M91", and the score is "0.53". The information processing apparatus 100 uses information as shown in the list information TA3 to generate a ranking of cut # 3. The process of generating the ranking for each cut is not limited to the above, and any process may be used as long as the above-mentioned ranking of a plurality of cuts can be generated. The information processing apparatus 100 calculates the score of each of the search result transaction targets, classifies the corresponding transaction target for each cut, and sorts each cut in order from the one with the highest score after the classification. You may generate a ranking.

Then, the information processing apparatus 100 generates the content including the ranking of the cut # 1, the ranking of the cut # 2, and the ranking of the cut # 3. For example, the information processing apparatus 100 has a first tab content in which the search result of the search query "XXXX" is arranged, and a second tab content in which the ranking of the cut # 1, the ranking of the cut # 2, and the ranking of the cut # 3 are arranged. Generate content that contains. Then, the information processing apparatus 100 arranges the first tab content in which the search result of the search query "XXXX" is arranged, and the second tab content in which the ranking of the cut # 1, the ranking of the cut # 2, and the ranking of the cut # 3 are arranged. The content including the content is transmitted to the terminal device 10. The terminal device 10 that has received the content from the information processing device 100 displays the received content.

As described above, the information processing apparatus 100 can provide appropriate content by providing the content indicating the ranking of the transaction target based on the relational cut and the search query whose relation with the search query satisfies a predetermined condition. can.

The above is only an example, and the information processing apparatus 100 may determine the cut end by appropriately using various information. The information processing apparatus 100 may determine the cut according to the user attribute or the user's worries. Further, the information processing apparatus 100 may determine a cut based on the search history. When the ratio of the search query "bouquet" used in combination with the search query "present" is equal to or greater than a predetermined ratio, the cut of the search query "bouquet" may be determined to be "present".

Further, the information processing apparatus 100 may determine the cut based on the interest estimated from the search history. As described above, the information processing apparatus 100 may generate a ranking of transaction targets associated with information (title, text, review) corresponding to the search query and the cut. Further, when the relevance of a certain cut is too high (satisfying a predetermined condition), the information processing apparatus 100 may generate only the ranking of the cut.

[1-2-2. Search results and ranking examples]
Next, examples of search results and rankings will be described with reference to FIGS. 4 to 7. 4 to 7 are diagrams showing an example of search results and ranking.

[1-2-2-1. Multiple cuts]
First, the example of FIG. 4 will be described. In FIG. 4, the character string "XXXX" used as the search query indicates the name of a predetermined game software series. The information processing apparatus 100 generates a search result by a search process using the search query "XXXXX".

Further, the information processing apparatus 100 determines three cuts of "plush toy", "hero play", and "trading card", which are cuts of the second threshold value or more and less than the first threshold value, as related cuts. Then, the information processing apparatus 100 generates content including a ranking of the cut "plush toy", a ranking of the cut "hero play", and a ranking of the cut "trading card". In FIG. 4, the information processing apparatus 100 generates content including the second tab content C12 including the ranking RL11 of the cut “plush toy”, the ranking RL12 of the cut “hero play”, and the ranking RL13 of the cut “trading card”.

In FIG. 4, the information processing apparatus 100 has a first tab content C11, a second tab content C12, and a first heading TB1 and a second heading for switching between the first tab content C11 and the second tab content C12. Generate content including TB2. Then, the information processing apparatus 100 displays the first tab content C11, the second tab content C12, and the first heading TB1 and the second heading TB2 for switching between the first tab content C11 and the second tab content C12. The content including the content is transmitted to the terminal device 10. The terminal device 10 that has received the content including the first tab content C11, the second tab content C12, the first heading TB1 and the second heading TB2 from the information processing device 100 displays the received content.

The first tab content C11 and the second tab content C12 are displayed in an area for displaying tabs (contents) in the content such as the area AR1 of the content C1. For example, the first tab content C11 and the second tab content C12 are displayed in the area AR1 in a state where the search query "XXXX" entered by the user is arranged in the search box BX1 of the content C1 in FIG.

For example, when the first heading TB1 is selected by the user, the first tab content C11 in which the search result of the search query "XXXX" is arranged is displayed in the display area AR1. Further, when the second heading TB2 is selected by the user, the second tab content C12 in which the ranking of the transaction target corresponding to the search query "XXXX" is arranged is displayed in the display area AR1. That is, the terminal device 10 switches between the first tab content C11 and the second tab content C12 and displays them in the display area AR1 according to the user's selection.

Next, the example of FIG. 5 will be described. FIG. 5 shows a case where the character string “birth celebration” is used as a search query. The information processing apparatus 100 generates a search result by a search process using the search query "birth celebration". The information processing apparatus 100 generates content including the first tab content C21 in which the search result corresponding to the search query "birth celebration" is arranged.

Further, the information processing apparatus 100 determines three cuts of "diaper cake", "swaddle" and "baby tableware", which are cuts of the second threshold value or more and less than the first threshold value, as related cuts. Then, the information processing apparatus 100 generates contents including a ranking of the cut "diaper cake", a ranking of the cut "swaddle", and a ranking of the cut "baby tableware". In FIG. 5, the information processing apparatus 100 generates content including a second tab content C22 including a ranking RL21 for the cut “diaper cake”, a ranking RL22 for the cut “swaddle”, and a ranking RL23 for the cut “baby tableware”.

In FIG. 5, the information processing apparatus 100 switches between the first tab content C21, the second tab content C22, and the first tab content C21 and the second tab content C22 to display the first heading TB1 and the second heading. Generate content including TB2. Then, the information processing apparatus 100 displays the first tab content C21, the second tab content C22, and the first heading TB1 and the second heading TB2 for switching between the first tab content C21 and the second tab content C22. The content including the content is transmitted to the terminal device 10. The terminal device 10 that has received the content including the first tab content C21, the second tab content C22, the first heading TB1 and the second heading TB2 from the information processing device 100 displays the received content.

The first tab content C21 and the second tab content C22 are displayed in an area for displaying tabs (contents) in the content such as the area AR1 of the content C1. For example, the first tab content C21 and the second tab content C22 are displayed in the area AR1 in a state where the search query "birth celebration" entered by the user is arranged in the search box BX1 of the content C1 in FIG. ..

For example, when the first heading TB1 is selected by the user, the first tab content C21 in which the search result of the search query "birth celebration" is arranged is displayed in the display area AR1. Further, when the second heading TB2 is selected by the user, the second tab content C22 in which the ranking of the transaction target corresponding to the search query "birth celebration" is arranged is displayed in the display area AR1. That is, the terminal device 10 switches between the first tab content C21 and the second tab content C22 and displays them in the display area AR1 according to the user's selection.

Next, the example of FIG. 6 will be described. FIG. 6 shows a case where the character string “perfume” is used as a search query. The information processing apparatus 100 generates a search result by a search process using the search query "perfume". The information processing apparatus 100 generates content including the first tab content C31 in which the search result corresponding to the search query "perfume" is arranged.

Further, the information processing apparatus 100 determines three cuts of "brand # 1", "brand # 2", and "brand # 3", which are cuts of the second threshold value or more and less than the first threshold value, as related cuts. Then, the information processing apparatus 100 generates the content including the ranking of the cut "brand # 1", the ranking of the cut "brand # 2", and the ranking of the cut "brand # 3". In FIG. 6, although it is shown by an abstract character string such as brand # 1, brand # 2, and brand # 3, each brand is information that can identify a specific brand. In FIG. 6, the information processing apparatus 100 includes content including a second tab content C32 including a ranking RL31 of the cut “brand # 1”, a ranking RL32 of the cut “brand # 2”, and a ranking RL33 of the cut “brand # 3”. Generate.

In FIG. 6, the information processing apparatus 100 switches between the first tab content C31, the second tab content C32, and the first tab content C31 and the second tab content C32 to display the first heading TB1 and the second heading. Generate content including TB2. Then, the information processing apparatus 100 displays the first tab content C31, the second tab content C32, and the first heading TB1 and the second heading TB2 for switching between the first tab content C31 and the second tab content C32. The content including the content is transmitted to the terminal device 10. The terminal device 10 that has received the content including the first tab content C31, the second tab content C32, the first heading TB1 and the second heading TB2 from the information processing device 100 displays the received content.

The first tab content C31 and the second tab content C32 are displayed in an area for displaying tabs (contents) in the content such as the area AR1 of the content C1. For example, the first tab content C31 and the second tab content C32 are displayed in the area AR1 in a state where the search query "perfume" input by the user is arranged in the search box BX1 of the content C1 in FIG.

For example, when the first heading TB1 is selected by the user, the first tab content C31 in which the search result of the search query "perfume" is arranged is displayed in the display area AR1. Further, when the second heading TB2 is selected by the user, the second tab content C32 in which the ranking of the transaction target corresponding to the search query "perfume" is arranged is displayed in the display area AR1. That is, the terminal device 10 switches between the first tab content C31 and the second tab content C32 and displays them in the display area AR1 according to the user's selection.

[1-2-2-2.1 One cut]
Next, a case where there is one related cut shown in FIG. 7 will be described. FIG. 7 shows a case where the character string “washing machine” is used as a search query. The information processing apparatus 100 generates a search result by a search process using the search query "washing machine". The information processing apparatus 100 generates content including the first tab content C41 in which the search result corresponding to the search query "washing machine" is arranged.

Further, the information processing apparatus 100 determines one cut that is equal to or higher than the first threshold value as the related cut. Then, the information processing apparatus 100 generates the content including the ranking of one cut. In FIG. 7, the information processing apparatus 100 generates the content including the second tab content C42 including the ranking of one cut. In this case, the information processing apparatus 100 can display a list of more transaction targets in the ranking of one cut than in the case of including the ranking of a plurality of cuts. The information processing apparatus 100 may generate the second tab content C42 including the character information indicating one cut.

In FIG. 7, the information processing apparatus 100 switches between the first tab content C41, the second tab content C42, and the first tab content C41 and the second tab content C42 to display the first heading TB1 and the second heading. Generate content including TB2. Then, the information processing apparatus 100 displays the first tab content C41, the second tab content C42, and the first heading TB1 and the second heading TB2 for switching between the first tab content C41 and the second tab content C42. The content including the content is transmitted to the terminal device 10. The terminal device 10 that has received the content including the first tab content C41, the second tab content C42, the first heading TB1 and the second heading TB2 from the information processing device 100 displays the received content.

The first tab content C41 and the second tab content C42 are displayed in an area for displaying tabs (contents) in the content such as the area AR1 of the content C1. For example, the first tab content C41 and the second tab content C42 are displayed in the area AR1 in a state where the search query "washing machine" entered by the user is arranged in the search box BX1 of the content C1 in FIG. ..

For example, when the first heading TB1 is selected by the user, the first tab content C41 in which the search result of the search query "washing machine" is arranged is displayed in the display area AR1. Further, when the second heading TB2 is selected by the user, the second tab content C42 in which the ranking of the transaction target corresponding to the search query "washing machine" is arranged is displayed in the display area AR1. That is, the terminal device 10 switches between the first tab content C41 and the second tab content C42 and displays them in the display area AR1 according to the user's selection.

[1-2-3. Narrowing down transaction targets]
The information processing apparatus 100 may determine a transaction target (also referred to as “target transaction target”) to be displayed as a ranking based on the transaction target information regarding the transaction target. This point will be described below. For example, the information processing apparatus 100 displays a transaction target (target transaction target) as a ranking based on the transaction target information among the transaction targets (search result transaction target) included in the search result of the search process using the search query. To determine. In this case, the information processing apparatus 100 generates a ranking for the determined (narrowed down) target transaction target. For example, the information processing apparatus 100 generates content including the second tab content in which the ranking generated for the target transaction target is arranged.

Then, the information processing apparatus 100 provides the content indicating the ranking generated for the target transaction target. For example, the information processing apparatus 100 provides content including a second tab content in which a ranking generated for a target transaction target is arranged.

For example, the information processing apparatus 100 may determine the target transaction target based on the sales history (information such as sold or not sold, the number of orders). For example, the information processing apparatus 100 may determine the target transaction target based on the period elapsed from the date and time when the transaction target is sold. For example, the information processing apparatus 100 may determine a transaction target whose period elapsed from the date and time of the last sale is within a predetermined period as the target transaction target. For example, the information processing apparatus 100 may determine a predetermined number of transaction targets as target transaction targets in order from the one closest to the last sold date and time.

For example, the information processing apparatus 100 may determine the target transaction target based on the number of the transaction targets sold. For example, the information processing apparatus 100 may determine a transaction target whose number of sold items is a predetermined number or more as a target transaction target.

For example, the information processing apparatus 100 may determine the target transaction target based on the number of views (number of PVs) of the information of the transaction target. For example, the information processing apparatus 100 may determine a transaction target in which the number of times the information is viewed (the number of PVs) is equal to or greater than a predetermined number of times as the target transaction target.

For example, the information processing apparatus 100 may determine the target transaction target based on the number of reviews for the transaction target. For example, the information processing apparatus 100 may determine a transaction target having a predetermined number of reviews or more as a target transaction target.

For example, the information processing apparatus 100 may determine the target transaction target based on the evaluation of the transaction target. For example, the information processing apparatus 100 may determine a transaction target whose evaluation is equal to or higher than a predetermined value as a target transaction target.

Further, for example, the information processing apparatus 100 may determine the target transaction target based on the score of the transaction target. The information processing apparatus 100 may determine a transaction target whose score satisfies a predetermined condition as a target transaction target.

Further, for example, the information processing apparatus 100 may determine the target transaction target based on external factors such as boom, SNS, and the number of searches. For example, the information processing apparatus 100 may determine a transaction target in which the number of postings on the SNS is a predetermined number or more as a target transaction target. For example, the information processing apparatus 100 may determine a transaction target whose number of searches is a predetermined number or more as a target transaction target.

Further, for example, the information processing apparatus 100 may determine the target transaction target based on internal factors such as coupons and price reductions. For example, the information processing apparatus 100 may determine a transaction target for which a coupon is provided within a predetermined period as a target transaction target. For example, the information processing apparatus 100 may determine a transaction target whose price has been reduced within a predetermined period as a target transaction target.

For example, the information processing apparatus 100 has a first tab content in which the search results of the search query are arranged, and a target transaction determined (narrowed down) based on the transaction target information among the search result transaction targets corresponding to the search query. Content including the second tab content in which the ranking generated with the target as the target (mother group) is arranged is transmitted to the terminal device 10. The terminal device 10 that has received the content from the information processing device 100 displays the received content.

By the above processing, the information processing apparatus 100 can appropriately determine the transaction target to be ranked. Thereby, the information processing apparatus 100 can provide appropriate contents. The above is only an example, and the information processing apparatus 100 may determine the target transaction target by appropriately using various information. For example, the information processing apparatus 100 may determine the target transaction target by appropriately using the user information of the user of the information providing destination, and this point will be described later.

[1-2-4. Reason for ranking]
As shown in FIG. 2, the information processing apparatus 100 may provide content including reason information indicating the reason why the transaction target is ranked in that order. For example, the information processing apparatus 100 estimates the reason for the ranking of the transaction target (target transaction target) to be displayed as a ranking based on the transaction target information of the transaction target, and provides the content indicating the estimated reason for the target transaction target. ..

The information processing apparatus 100 may provide the reason estimated together with the ranking. For example, the information processing apparatus 100 generates content in which the reason is arranged in the vicinity of the information indicating the target transaction target in the ranking. In FIG. 2, the information processing apparatus 100 displays the reason information RS1 indicating the reason why the transaction target G1 which is the television X sold by the seller SA is ranked first on the right side (near) of the image of the transaction target G1. The content C1 including the arranged second tab content C2 is generated. The information processing apparatus 100 transmits the content C1 including the second tab content C2 in which the reason information RS1 indicating the reason why the transaction target G1 is ranked first is arranged on the right side of the image of the transaction target G1 to the terminal device 10. do.

For example, the information processing apparatus 100 may estimate based on the tendency of the transaction target information of a plurality of elements (types) included in the transaction target information. For example, the information processing apparatus 100 estimates that the most characteristic element is the reason for the ranking of the target transaction target. For example, the information processing apparatus 100 estimates that the element with the highest evaluation is the reason for the ranking of the target transaction target. The plurality of elements included in the transaction target information include various elements related to the number of orders for the transaction target, the number of times the information is viewed, the number of reviews, the number of reservations, external factors, internal factors, and the like.

For example, the information processing apparatus 100 estimates that the one with the highest score among a plurality of elements related to browsing (PV), ordering, review, etc. is the reason for the ranking of the target transaction target. In this case, the information processing apparatus 100 may calculate a partial score corresponding to each of the plurality of elements included in the transaction target information. For example, the information processing apparatus 100 uses a function (score function) that inputs information of a plurality of elements included in the transaction target information and outputs a partial score of the element, and uses the function (score function) of the plurality of elements included in the transaction target information. Calculate each partial score. For example, the information processing apparatus 100 calculates the average value of the partial scores corresponding to each of the plurality of elements included in the transaction target information as the transaction target score. For example, the information processing apparatus 100 calculates the score of the transaction target by adding up the partial scores corresponding to each of the plurality of elements included in the transaction target information. The information processing apparatus 100 estimates that the element having the maximum partial score for the target transaction target is the reason for the ranking of the target transaction target. For example, the information processing apparatus 100 estimates that the element having the maximum partial score of the element "number of orders" is the element "number of orders" as the reason for the ranking of the target transaction target.

By the above processing, the information processing apparatus 100 can appropriately estimate the reason for the ranking of the transaction target in the ranking. The above is only an example, and the information processing apparatus 100 may use various information as appropriate to estimate the reason for the ranking of the target transaction target. For example, the information processing apparatus 100 may estimate the reason for the ranking of the target transaction target based on the comparison result with the tendency of each element of the other transaction target. In this case, the information processing apparatus 100 provides a reason for showing the comparison result. For example, the information processing apparatus 100 provides a reason for showing a comparison result with another transaction target, such as a worse evaluation than the first-ranked transaction target.

Further, the information processing apparatus 100 may provide a ranking in consideration of external factors including factors other than the electronic commerce service, and a reason for the ranking of the target transaction target. For example, the information processing apparatus 100 estimates the factors that have become characteristic of the target transaction target after the occurrence of the external factors as the reasons together with the external factors. When the information processing device 100 increases the number of views (number of PVs) and the ranking of the target transaction target after it is posted on the SNS, the reason for the ranking of the target transaction target is both the posting and the number of views on the SNS. It may be presumed that. In this case, the information processing apparatus 100 may provide both the posting on the SNS and the number of views as the reason for the ranking of the target transaction target. Further, the information processing apparatus 100 may provide a ranking in consideration of internal factors and a reason for the ranking of the target transaction target. Further, the information processing apparatus 100 may estimate the factor according to the attribute of the user as a reason.

The information processing apparatus 100 estimates the reason for ranking based on the ranking element. The information processing apparatus 100 may presume and provide a reason such as "This transaction target has appeared in the past, but is ranked first because it has a high evaluation." Further, the information processing apparatus 100 may analyze ranking elements such as external factors, internal factors, leading indicators, and review evaluations to estimate the reason for the ranking.

For example, in the information processing apparatus 100, when the number of views (PV) and the ratio of orders and reviews (weighting), which are elements used for calculating the score, are 10: 1: 1, the reason for the ranking of the target transaction target is the element ". It is estimated to be the number of views (PV).

For example, in the information processing apparatus 100, when the number of views (PV) and the ratio of orders and reviews (weighting), which are elements used for calculating the score, are 1: 1:10, the reason for the ranking of the target transaction target is the element ". It may be presumed to be a "review". As described above, the information processing apparatus 100 may estimate the reason for the ranking of the target transaction target from the comparison result and the weight of the elements used for the score calculation. The information processing apparatus 100 may find an element having a high score as a singular point and presume that this element is the reason for the ranking of the target transaction target.

Further, the information processing apparatus 100 may estimate the reason for the rank of the target transaction target according to the relative comparison result with the transaction target of another rank. For example, the information processing apparatus 100 sets the reason for the ranking of the target transaction target according to the comparison result according to the comparison with other rankings such as "the evaluation is lower than the first transaction target, so it is the second place". presume.

Further, the information processing apparatus 100 may presume that an external factor related to the boom such as "because it was provided by a gein entertainer" is the reason for the ranking of the target transaction target. The information processing apparatus 100 may presume that internal factors such as "because it is sold after the coupon is issued" and "because the price has been reduced" are the reasons for the ranking of the target transaction targets. On a rule basis, the information processing apparatus 100 may presume that if the number of orders increases after the occurrence of external factors and internal factors, that factor is the reason for the ranking of the target transaction target. When the number of searches increases, the information processing apparatus 100 may analyze the number of searches, estimate the factors, and estimate that the estimation factor is the reason for the ranking of the target transaction target. The information processing apparatus 100 may presume that the buzzword is the reason for the ranking of the target transaction target. The information processing apparatus 100 may perform voice recognition and analysis of whether or not the information has been introduced on the television, and estimate the reason for the ranking of the target transaction target based on the analysis result.

The information processing apparatus 100 may use a value obtained by excluding the number of promotion links from the number of views (PV). In this case, the information processing apparatus 100 may provide a ranking generated by using the number of views (PV) excluding the number of promotion links. The information processing apparatus 100 uses the information of the number of views (PV) excluding the number of promotion links as the reason for the ranking of the target transaction target in the ranking generated by using the number of views (PV) excluding the number of promotion links. May be estimated.

Further, the information processing apparatus 100 may switch the reason for each attribute of the user. For example, the information processing apparatus 100 may determine for each user which reason to provide, depending on whether he / she likes price reductions, new products, and the like. For example, the information processing apparatus 100 may decide to provide the element "price reduction" as the reason for the ranking of the target transaction target when the user likes the price reduction. Further, the information processing apparatus 100 may change the threshold value for each attribute of the user.

[1-2-5. Ranking target (products, etc.)]
In the above-mentioned example, each of the transaction targets is set as the ranking target, but the ranking target is not limited to the transaction target. This point will be described below. First, the premise of the ranking explained below will be explained.

The television X, which is the transaction target G1 sold by the seller SA shown in FIG. 2, is a product (article) that may be sold by a seller other than the seller SA as another transaction target. In this way, even a plurality of transaction targets sold by each of a plurality of distributors (shops) may be the same product. For example, the transaction target G1 which is the TV X sold by the seller SA and the transaction target G2 which is the TV X sold by the seller SB are different transaction targets when viewed as transaction targets, but are viewed as products. If so, it is the same product (TV X).

For example, if there are a large number of trading targets corresponding to the same product, only information on the same product but different trading targets may be displayed. For example, if thousands of distributors sell TV X and multiple transaction targets of TV X monopolize the first to 100th places in the ranking, the same product (TV) that is different as the transaction target at the top of the ranking. X) will be lined up, and it is hard to say that it is useful information provision for users. In this way, when each of the transaction targets is targeted for ranking, it may be difficult to provide useful information to the user.

Therefore, the information processing apparatus 100 generates a ranking with the transaction target group of the same product as one ranking target, and provides the generated ranking to the user. The information processing apparatus 100 determines a transaction target group having the same product among a plurality of transaction targets corresponding to the search query, and generates a ranking with the determined transaction target group as one product. For example, the information processing apparatus 100 determines a transaction target group that is a product "TV X" from a plurality of transaction targets corresponding to the search query "TV", and sets the transaction target group as one product "TV X". Generate the ranking.

For example, the information processing apparatus 100 determines which transaction target is the same product by using the transaction target having the same identification information (also referred to as “product specific information”) for identifying the product. For example, the product specific information is a JAN code. For example, the information processing apparatus 100 determines that the transaction target group having the same JAN code is the same product.

Further, the information processing apparatus 100 determines that the transaction target to which the product specific information is not associated is an individual transaction target (also referred to as “non-product”) that is not a product. For example, the information processing apparatus 100 determines that the transaction target to which the JAN code is not associated is an individual transaction target that is not a product.

Then, the information processing apparatus 100 generates a ranking (also referred to as "product possession ranking") in which two types of ranking targets, that is, a product and an individual transaction target, are ranked. The information processing apparatus 100 generates a product possession ranking in which two types of ranking targets, a product and an individual transaction target, are mixed. In the following, the process will be described by exemplifying the case where "birth celebration" is used as the search query.

For example, the information processing apparatus 100 generates a product possession ranking using a first score of an individual transaction target and a second score of a product (also referred to as a “product score”). For example, the information processing apparatus 100 calculates the score of each transaction target (search result transaction target) included in the search result of the search process using the search query “birth celebration”. Since the calculation of the score of the transaction target is the same as the content described in FIG. 1, the description thereof will be omitted. The information processing apparatus 100 uses the score as the first score for the transaction target which is the individual transaction target among the search result transaction targets.

Further, the information processing apparatus 100 calculates a second score (product score) of one product by using each score of the transaction target group which is one product among the search result transaction targets. The information processing apparatus 100 may calculate the product score of one product based on the total of the scores of each of the transaction target groups regarded as one product. The information processing apparatus 100 may calculate the average of the scores of each of the transaction target groups as one product as the product score of one product. For example, the information processing apparatus 100 uses the scores of the transaction targets G11, G12, and G13, which are the transaction targets of the search result transaction target of the search query "birth celebration", to be the product "swaddle W". Calculate the product score. For example, the information processing apparatus 100 calculates the average of the scores of each of the transaction targets G11, G12, and G13 designated as the product "swaddle W" as the product score of the product "swaddle W".

By the above processing, the information processing apparatus 100 can appropriately generate a ranking for the ranking target including the product. Thereby, the information processing apparatus 100 can provide appropriate contents. The above is only an example, and the information processing apparatus 100 may calculate the first score of the individual transaction target and the second score of the product by processing using various information as appropriate. The information processing apparatus 100 calculates a score for only individual transaction targets among the search result transaction targets included in the search results of the search process using the search query "birth celebration" in the same manner as in FIG. 1, and the transaction target corresponding to the product. Only the product score of the product may be calculated without calculating the group score. The information processing apparatus 100 may calculate the score and generate the ranking based on the evaluation of the seller who sells each of the transaction targets, which will be described later.

For example, the information processing apparatus 100 uses the first score of the individual transaction target and the second score (product score) of the product, and ranks the first score or the second score in descending order from the highest to the individual transaction. Generate a product existence ranking in which the target and the product are mixed. The information processing apparatus 100 generates a product possession ranking including one product "swaddle W" corresponding to the transaction targets G11, G12, and G13.

Then, the information processing apparatus 100 generates the content including the product possession ranking. For example, in the information processing apparatus 100, when one product "Swaddling W" in the product existence ranking is selected, information on transaction targets G11, G12, and G13 corresponding to one product "Swaddling W" is displayed. Generate content. For example, the information processing apparatus 100 generates content including a first tab content in which the search result of the search query "birth celebration" is arranged and a second tab content in which the product existence ranking corresponding to the search query "birth celebration" is arranged. do.

Then, the information processing apparatus 100 terminals the content including the first tab content in which the search result of the search query "birth celebration" is arranged and the second tab content in which the product existence ranking corresponding to the search query "birth celebration" is arranged. It is transmitted to the device 10. The terminal device 10 that has received the content from the information processing device 100 displays the received content. The terminal device 10 displays information on transaction targets G11, G12, and G13 corresponding to one product "Swaddling W" when one product "Swaddling W" in the displayed product existence ranking is selected by the user. do.

[1-2-5-1. Processing image, release of limitation]
Hereinafter, the above-mentioned processing image and limitation release will be described. First, a processed image will be described with reference to FIG. FIG. 8 is a diagram showing the concept of ranking based on products.

FIG. 8 shows, as an example, the processing image PS1 for which the four products A, B, C, and D are to be traded. In FIG. 8, the information processing apparatus 100 determines that the product A and the product C are the same product X. Further, the information processing apparatus 100 determines that the product B is an individual transaction target (non-product). Further, the information processing apparatus 100 determines that the product D is the product Y. For example, when there is another product that is the product Y other than the product D, the information processing apparatus 100 determines that the other product and the product D are the same product Y.

Then, the information processing apparatus 100 generates a ranking (product existence ranking) for the product X, the product B, and the product Y as ranking targets. When the product Y is only the product D, the information processing apparatus 100 may target the product D as a ranking target.

The above-mentioned processing is only an example of the processing for generating the product existence ranking, and the information processing apparatus 100 may generate the product existence ranking by appropriately using various information. The release of the limitation on this point is described below.

The information processing apparatus 100 may calculate the score of the seller who sells the transaction target (seller score) and the score of the transaction target itself (transaction target score). The information processing apparatus 100 may calculate various scores such as a first score and a second score (product score) by using the seller score and the transaction target score. The information processing apparatus 100 may use the sum of the seller score and the transaction target score as a score.

The information processing apparatus 100 may correct the product score based on the number of transaction targets of the same product. The information processing apparatus 100 may correct the product score based on the number of sales of the transaction target which is the same product. The information processing apparatus 100 may correct the product score based on the evaluation of the seller (store) that sells the transaction target that is the same product. For example, in the information processing apparatus 100, even if the evaluation of one of the sellers is bad, if the evaluation of the other seller is high, the correction amount may be reduced.

The information processing apparatus 100 may calculate the score based on the content of the review for each transaction target. The information processing apparatus 100 may analyze the content of the review, estimate the evaluation of the seller and the evaluation of the transaction target, and calculate the score from the evaluation of the transaction target.

The information processing apparatus 100 generates a product existence ranking based on the transaction target information. The information processing apparatus 100 generates a product possession ranking based on the respective rankings of the transaction target and the product. The information processing apparatus 100 may calculate the transaction target score by the evaluation of the seller. If it is presumed that the information processing apparatus 100 has a high reputation for a product even if one of the distributors selling the same product is bad, the information processing apparatus 100 raises the rank of the same product. May be good. If any of the sellers selling the same product is bad, the information processing apparatus 100 may calculate the product score by excluding the score of the transaction target of the seller. The information processing apparatus 100 may perform scoring according to the number of transaction targets as one product.

The information processing apparatus 100 may calculate the product score by estimating the evaluation of the product (evaluation excluding the evaluation of the seller) from the evaluation (score or the like) of the transaction target. The information processing apparatus 100 may exclude the transaction target of the seller (store) having a bad evaluation from the processing target. The information processing apparatus 100 may perform product evaluation (score calculation, etc.) based on the average review score. The information processing apparatus 100 may exclude the transaction target of the seller whose value deviation is clearly equal to or more than the threshold value from the processing target.

The information processing apparatus 100 may linguistically analyze the content of the review to evaluate the transaction target (product) (score calculation, etc.). The information processing apparatus 100 may consider the number of units sold. The information processing apparatus 100 may generate a ranking in consideration of the number of sellers to be exhibited, the number of units sold, the price, and the like. The information processing apparatus 100 may generate a product existence ranking by scoring by the number of sales, PV, etc. in the product unit and the transaction target unit. The information processing apparatus 100 may calculate a median value from the evaluation of reviews for each seller and perform weighting to integrate the product and the transaction target score. The information processing apparatus 100 may estimate from the search query whether it is a product search or a transaction target search, and change the weighting. The information processing device 100 may estimate the product. The information processing apparatus 100 may determine a transaction target group having the same product by character analysis or image analysis of the transaction target information. The information processing apparatus 100 may be one transaction target for selling as a set.

[1-2-6. Transaction target according to user]
The information processing apparatus 100 may determine a transaction target (also referred to as a “target transaction target”) to be displayed as a ranking based on the user information of the user who has input the search query. That is, the information processing apparatus 100 may provide a ranking in which the target transaction target changes according to the user information. This point will be described below. For example, among the transaction targets (search result transaction targets) included in the search results of the search process using the search query, the information processing apparatus 100 displays the transaction targets (target transaction targets) as rankings based on the user information. May be determined. In this case, the information processing apparatus 100 generates a ranking for the determined target transaction target. For example, the information processing apparatus 100 generates content including the second tab content in which the ranking generated for the target transaction target is arranged.

Then, the information processing apparatus 100 provides the content indicating the ranking generated for the target transaction target. For example, the information processing apparatus 100 provides content including a second tab content in which a ranking generated for a target transaction target is arranged.

The information processing apparatus 100 may determine the target transaction target based on the user information including the attribute information of the user. The information processing apparatus 100 may determine a transaction target selected by a similar user similar to the user's attribute as the target transaction target. The information processing apparatus 100 may determine a transaction target group selected in the past by a similar user similar to the user U1 as a target transaction target.

The information processing apparatus 100 may determine a transaction target purchased by a similar user having similar attributes to the user as the target transaction target. The information processing apparatus 100 may determine a transaction target group purchased in the past by a similar user similar to the user U1 as a target transaction target.

When the user to whom the ranking is provided is a male in his thirties, the information processing apparatus 100 may determine the transaction target included in the purchase history of a similar user corresponding to the male in his thirties as the target transaction target. When the user U1 who has entered the search query "cleaner" is a woman in her twenties, the information processing apparatus 100 has a transaction target (search result transaction target) included in the search result of the search process using the search query "cleaner". ), The transaction target having a sales history to similar users corresponding to women in their twenties may be determined as the target transaction target.

The information processing apparatus 100 may provide content indicating a ranking corresponding to another ranking provided to a similar user having similar attributes to the user. The information processing apparatus 100 is a transaction target group included in the ranking provided to the user U2 when the user U2 similar to the user U1 who input the search query "YYYY" inputs the search query "YYYY" in the past. Is determined as the target transaction target (target transaction target TG). Then, the information processing apparatus 100 generates a ranking of the target transaction target TG, and provides the generated ranking to the user U1.

The information processing apparatus 100 may provide content indicating a ranking corresponding to another ranking provided when a similar user selects a transaction target. The information processing apparatus 100 provided the information processing apparatus 100 to the user U2 when the user U2 similar to the user U1 who input the search query "YYYY" selected a transaction target from the search results of the search query "YYYY" in the past. The transaction target group included in the ranking is determined as the target transaction target (target transaction target TG). Then, the information processing apparatus 100 generates a ranking of the target transaction target TG, and provides the generated ranking to the user U1.

For example, the information processing apparatus 100 is a target transaction determined (narrowed down) based on user information among the first tab content in which the search result of the search query is arranged and the search result transaction target corresponding to the search query. Content including the second tab content in which the ranking generated with the target as the target (mother group) is arranged is transmitted to the terminal device 10. The terminal device 10 that has received the content from the information processing device 100 displays the received content.

Further, the information processing apparatus 100 may provide content indicating the reason for the ranking of the target transaction target. The information processing apparatus 100 may switch the reason for each attribute of the user. The information processing apparatus 100 may determine which reason is to be provided for each user, depending on whether quality (specs) is emphasized or price is emphasized. When the information processing apparatus 100 is a quality-oriented user, it may be determined to provide the element "spec" as the reason for the ranking of the target transaction target.

By the above processing, the information processing apparatus 100 can appropriately determine the transaction target to be ranked. Thereby, the information processing apparatus 100 can provide appropriate contents. The above is only an example, and the information processing apparatus 100 may determine the target transaction target by appropriately using various information.

As described above, the information processing apparatus 100 determines (selects) the target transaction target according to the attributes of the user. For example, the information processing apparatus 100 selects a transaction target selected by a similar user as a target transaction target. For example, the information processing apparatus 100 selects a transaction target purchased by a similar user as a target transaction target.

Further, the information processing apparatus 100 may generate a ranking of a type according to the attribute of the user. The information processing apparatus 100 may generate a ranking of the type (cutting edge) displayed when a similar user of the user selects a transaction target. The information processing apparatus 100 may display the reason for ranking. The information processing device 100 may generate content including a reason according to the attribute of the user.

As described above, the information processing apparatus 100 provides a ranking of transaction targets according to the attributes of the user. For example, the information processing apparatus 100 generates a ranking of transaction targets according to new users, gender, and age. For example, the information processing apparatus 100 generates a ranking targeting only those purchased by similar users corresponding to the attributes of the users. For example, the information processing apparatus 100 determines a transaction target viewed by a user with a similar attribute corresponding to the user's attribute, a transaction target added to the cart, and the like as the target transaction target, and generates a ranking. Further, the information processing apparatus 100 determines a target transaction target (population) based on individual characteristic information such as a user's family structure, purchase history, and price range to be purchased, and generates a ranking of the population. May be good.

The information processing apparatus 100 may generate a ranking of cuts according to user attributes among the rankings of a plurality of cuts (viewpoints). The information processing apparatus 100 may generate a ranking of cuts determined based on user information among a plurality of cuts. The information processing apparatus 100 generates a ranking of cuts selected (clicked) by the user himself or a similar user similar to the user's attributes from the rankings of each cut such as brand and price, and provides the ranking to the user. do. It may be a user to be displayed. The information processing apparatus 100 may generate content to be displayed together with the reason displayed when a person of the user's age selects (clicks) the transaction target, or displays the reason corresponding to the attribute. Content may be generated.

[1-2-7. Boost]
The information processing apparatus 100 determines a transaction target, which is a transaction target to be boosted in the ranking, among the transaction targets, and generates a ranking reflecting the result of the boost processing being performed on the boost target. May be good. This point will be described below. For example, the information processing apparatus 100 determines the boost target, and generates content including the second tab content in which the ranking reflecting the result of the boost processing performed on the determined boost target is arranged.

Then, the information processing apparatus 100 provides content indicating a ranking that reflects the result of the boost processing performed on the boost target. For example, the information processing apparatus 100 provides content including a second tab content in which rankings reflecting the result of boost processing performed on the boost target are arranged.

For example, the information processing apparatus 100 determines the boost target based on the transaction target information regarding the transaction target. The information processing apparatus 100 may determine the boost target based on the sales history of the transaction target. The information processing apparatus 100 may determine the boost target based on the number of sales of the transaction target. The information processing apparatus 100 may determine the boost target based on the transition of the number of sales of the transaction target. For example, when the transition of the number of sales of the transaction target is on the upward trend, the information processing apparatus 100 determines the transaction target as the boost target. For example, when the rate of increase in the number of sales of the transaction target is equal to or higher than a predetermined value, the information processing apparatus 100 determines the transaction target as the boost target.

The information processing apparatus 100 may determine the boost target based on the number of times the information indicating the transaction target is viewed. For example, the information processing apparatus 100 determines the transaction target as the boost target when the transition of the number of times of viewing the information indicating the transaction target tends to increase. For example, when the rate of increase in the number of times of viewing the information indicating the transaction target is equal to or higher than a predetermined value, the information processing apparatus 100 determines the transaction target as the boost target.

The information processing apparatus 100 may determine the boost target based on the number of reviews for the transaction target. For example, when the transition of the number of reviews to the transaction target tends to increase, the information processing apparatus 100 determines the transaction target as the boost target. For example, when the rate of increase in the number of reviews for a transaction target is equal to or higher than a predetermined value, the information processing apparatus 100 determines the transaction target as the boost target.

Further, the information processing apparatus 100 may determine the boost target based on external factors such as SNS and the number of searches. For example, when the transition of the number of postings on the SNS with respect to the transaction target tends to increase, the information processing apparatus 100 determines the transaction target as the boost target. For example, when the rate of increase in the number of postings on the SNS with respect to the transaction target is equal to or higher than a predetermined value, the information processing apparatus 100 determines the transaction target as the boost target. For example, the information processing apparatus 100 determines the transaction target as the boost target when the transition of the number of searches for the transaction target tends to increase. For example, when the rate of increase in the number of searches for the transaction target is equal to or higher than a predetermined value, the information processing apparatus 100 determines the transaction target as the boost target.

Further, the information processing apparatus 100 may determine the boost target based on internal factors such as coupons and price reductions. The information processing apparatus 100 may determine the transaction target for which the coupon is provided as the boost target within a predetermined period. The information processing apparatus 100 may determine a transaction target whose price has been reduced within a predetermined period as a boost target.

Further, the information processing apparatus 100 may determine the boost target according to the user to whom the ranking is provided. The information processing apparatus 100 may determine a transaction target for which the user who is the destination of the ranking has viewed the information most recently (for example, within one day from the time when the ranking is provided) as the boost target. The information processing apparatus 100 may determine a transaction target purchased by a similar user similar to the user to whom the ranking is provided most recently (for example, within 3 days from the time when the ranking is provided) as a boost target.

Further, the information processing apparatus 100 may determine the timing of the boost process based on the transaction target information. The information processing apparatus 100 may determine the timing of boost processing that varies depending on the transaction target. When the number of sales of the transaction target has a periodic fluctuation, the information processing apparatus 100 may determine the timing as the timing of the boost process according to the periodic fluctuation. When the peak of the number of sales of a certain transaction target is October 31, the information processing apparatus 100 determines a time point before the peak (for example, September 1) as the start timing of the boost process of the transaction target. You may.

When the number of sales of the transaction target has seasonal fluctuations, the information processing apparatus 100 may determine the timing as the timing of the boost process according to the seasonal fluctuations. When the number of sales of a certain transaction target is on the rise toward the peak at the end of the year (end of December), the information processing apparatus 100 determines the start timing of the boost processing of the transaction target several months before the peak (for example, October). You may. Further, when the number of sales of a certain transaction target is on an upward trend toward the peak at the end of the year (end of December), the information processing apparatus 100 boosts the transaction target from several months before the peak to the end of the year. It may be decided to be the target of.

The above is only an example, and the information processing apparatus 100 may determine the boost target and the timing of the boost process by appropriately using various information. The information processing apparatus 100 generates a ranking that reflects the result of the boost processing performed on the determined boost target.

For example, the information processing apparatus 100 performs a process of raising the rank of the boost target in the ranking as a boost process to generate a ranking. For example, the information processing apparatus 100 raises the order of the transaction target G23 when the transaction target G23 is determined to be the boost target in the ranking ordered in the order of the transaction target G21, G22, G23, G24.

In this case, for example, the information processing apparatus 100 may execute the boost processing of the transaction target G23 and generate a ranking in which the transaction target G21, G23, G22, and G24 are ordered in this order. Further, the information processing apparatus 100 may execute the boost processing of the transaction target G23 and generate a ranking in which the transaction target G23, G21, G22, and G24 are ordered in this order. The above-mentioned process is only an example of the boost process, and the information processing apparatus 100 may perform any process as the boost process as long as the process can change (increase) the rank of the boost target in the ranking. ..

For example, the information processing apparatus 100 may generate a ranking by performing a process of increasing the score of the boost target in the ranking as a boost process. In this case, the information processing apparatus 100 determines the ranking of each transaction target using the score after the boost processing. For example, the information processing apparatus 100 multiplies the score of the transaction target determined as the boost target by a predetermined coefficient (for example, 1.2 or the like), and uses the score after the boost processing to determine the ranking of each transaction target. It may be decided and a ranking may be generated.

For example, the information processing apparatus 100 includes a first tab content in which the search result of the search query is arranged, and a second tab content in which the ranking after the boost processing of the boost target is performed corresponding to the search query is arranged. Is transmitted to the terminal device 10. The terminal device 10 that has received the content from the information processing device 100 displays the received content.

By the above processing, the information processing apparatus 100 determines a transaction target (boost target) to be boosted in the ranking, and generates a ranking reflecting the result of the boost processing performed on the determined boost target. do. Thereby, the information processing apparatus 100 can provide appropriate contents. The above is only an example, and the information processing apparatus 100 may appropriately use various information to determine the boost target, execute the boost process, and generate the ranking.

As described above, the information processing apparatus 100 may determine the boost target in consideration of seasonality. The information processing apparatus 100 may determine a transaction target whose transaction target information includes seasonal information such as "spring XX" and "summer XX" as a boost target. For example, the information processing apparatus 100 determines a transaction target whose peak is approaching as a boost target according to a transaction target information report including a sales history, a number of searches, a number of PVs, a number of SNS posts, a price, and the like. The information processing apparatus 100 may determine a period for performing boost processing according to the type (category) of the transaction target. The information processing apparatus 100 may determine the boost target or the period for performing the boost processing according to the result of the actual boost processing.

Depending on the sales history, the information processing apparatus 100 may postpone the transaction target that has passed the peak without making it a boost target. The information processing apparatus 100 may decide the transaction target whose peak is likely to come as the boost target ahead of schedule. The information processing apparatus 100 may determine the transaction target whose sales have expanded rapidly as the boost target ahead of schedule. The information processing apparatus 100 may determine the boost target according to the ratio of the transaction targets of the same type (category).

The information processing apparatus 100 may execute the boost process of the transaction target at the timing when any one of the factors such as the number of sales, the number of searches, and the number of PVs of a certain transaction target rises as much as possible. Further, the information processing apparatus 100 may execute the boost process of the transaction target at the timing when any one of the elements such as the number of sales, the number of searches, and the number of PVs of a certain transaction target rises by a predetermined threshold value or more. The information processing device 100 may change the timing according to the transaction target.

The information processing apparatus 100 may determine the timing of the boost process according to the change of the fluctuation factor for the transaction target having the fluctuation factor as the cause of the peak, such as a product related to weather. The information processing apparatus 100 may determine the timing of boost processing according to the non-variable factor for a transaction target having a non-variable factor as the cause of the peak, such as a period product such as a Halloween product. .. As described above, the information processing apparatus 100 may appropriately use various information to determine the timing of performing the boost process.

[1-3. summary〕
By various processes described above, the information processing apparatus 100 can propose a search method of selecting from the contents that can be the decisive factor of "ranking" at a prominent position of the first view by providing a tab related to the ranking in the contents. Therefore, the information processing apparatus 100 can reduce the possibility that the user who could not select the transaction target by himself / herself from the search result leaves. Further, the information processing apparatus 100 can promote migration of a user (light user) whose usage time is less than a predetermined time.

For example, a use case may be assumed in which there are many options (transaction targets) corresponding to the search query entered by the user, the prerequisite knowledge is small, and it is difficult to decide what to buy. In this case, for example, the information processing apparatus 100 provides a ranking for each category, specifications, and the like. As a result, even with a query with a wide intention, the user can easily grasp the outline of the transaction target, deepen the intention, and naturally narrow down the options. Further, since the information processing apparatus 100 is not forcibly narrowed down to a specific category, the range of proposals to the user is widened, and the possibility that the user leaves the user can be reduced.

Further, the information processing apparatus 100 can easily embody the image of the user purchasing the transaction target by providing the content in which the transaction target is arranged for each cut. Further, the information processing apparatus 100 can make it easier for the user to narrow down the options based on the trend, popularity, etc. by providing the contents organized by brand or the like.

For example, in the case of an expensive transaction target or a product (transaction target) that the user wants to examine by himself / herself, a use case is assumed in which he / she wants to compare the transaction targets and purchase the transaction target without failure. In this case, for example, the information processing apparatus 100 provides content including a ranking of transaction targets in consideration of trends, satisfaction after purchase, and the like, based on transaction targets purchased by other users in the past. For example, the information processing apparatus 100 suppresses duplication of presentations of transaction targets by aggregating and ranking the sales results of a plurality of distributors (stores), and provides a ranking in which products and non-products are arranged in parallel. can do. As a result, in the information processing apparatus 100, since the transaction targets with high completeness are lined up, the ranking can be compared while being convinced by the user. Further, the information processing apparatus 100 can appropriately provide options for comparing the same products by separating the differences between the sellers (stores) into one ranking target.

As described above, the information processing apparatus 100 can provide appropriate contents by providing rankings by various processes.

[2. Information processing system configuration]
As shown in FIG. 9, the information processing system 1 includes a terminal device 10, an external device 20, and an information processing device 100. The terminal device 10, the external device 20, and the information processing device 100 are connected to each other via a network N so as to be communicable by wire or wirelessly. The information processing system 1 shown in FIG. 9 may include a plurality of terminal devices 10, a plurality of external devices 20, and a plurality of information processing devices 100.

The terminal device 10 according to the embodiment is an information processing device used by a user who accesses contents such as a web page displayed on a browser and contents for an application. For example, the terminal device 10 is a desktop PC (Personal Computer), a notebook PC, a tablet terminal, a mobile phone, a PDA (Personal Digital Assistant), or the like. The terminal device 10 does not have to be limited to the above example, and may be, for example, a smart watch or a wearable device.

The external device 20 according to the embodiment is an information processing device that provides various information, and is realized by, for example, a server device or a cloud system. For example, the external device 20 provides user information as various information. As another example, the external device 20 includes an Internet shopping, an electronic shopping street, a free market site, an auction site, a reservation site for travel or restaurants, a credit card contract site, a financial product provision site, and the like. Provides information about the transaction target in.

The information processing device 100 according to the embodiment is an information processing device capable of communicating with various devices via a predetermined network N such as the Internet, and is realized by, for example, a server device or a cloud system. For example, the information processing device 100 is communicably connected to various other devices via the network N.

[3. Information processing device configuration]
Hereinafter, an example of the functional configuration of the information processing apparatus 100 described above will be described. FIG. 9 is a diagram showing a configuration example of the information processing apparatus 100 according to the embodiment. As shown in FIG. 9, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 110 is connected to the network N by wire or wirelessly, and transmits / receives information to / from other various devices.

(Memory unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory element such as a RAM (Random Access Memory) or a flash memory (Flash Memory), or a storage device such as a hard disk or an optical disk. Further, the storage unit 120 includes a user information storage unit 121, a transaction target information storage unit 122, a content storage unit 123, and a ranking information storage unit 124.

(User information storage unit 121)
The user information storage unit 121 stores various user information about the user. FIG. 10 is a diagram showing an example of a user information storage unit according to an embodiment. In the example shown in FIG. 10, the user information storage unit 121 has items such as "user ID" and "user information". For example, "user information" includes items such as "attribute information", "purchase history", and "browsing history".

The "user ID" is an identifier that identifies a user. The "attribute information" is attribute information related to the user's attribute associated with the "user ID". For example, the attribute information includes the age, gender, telephone number, address, and the like of the user. The above-mentioned attribute information is only an example, and various information other than age and gender, such as information indicating demographic attributes such as occupation and information indicating psychographic attributes such as interest / interest and lifestyle, are included. May be included.

The "purchase history" is a purchase history purchased by the user associated with the "user ID". For example, the purchase history is information about a transaction target purchased by a user, a type of transaction target, the number of purchases for which the transaction target was purchased, information regarding the date and time when the transaction target was purchased, and the like.

The "browsing history" is a history in which the content is browsed by the user associated with the "user ID". For example, the "browsing history" may be a history in which the content is displayed on the terminal device 10 used by the user. For example, the browsing history is information about the content browsed (displayed) by the user, the type of the content, the number of times the content is displayed, the date and time when the content is displayed, and the like.

For example, in FIG. 10, the attribute information of "U1" identified by the user ID is "CH1", the purchase history is "PH1", and the display history is "WA1". In the example shown in FIG. 10, the attribute information and the like are represented by abstract codes such as "CH1", but the attribute information and the like represent specific numerical values, specific character strings, and various information. It may be a file format including.

The user information storage unit 121 is not limited to the above, and may store various information depending on the purpose. The user information storage unit 121 may store information indicating the number of times the information is displayed for each transaction target, for example, the number of times the user has browsed, for each user.

(Transaction target information storage unit 122)
The transaction target information storage unit 122 stores various transaction target information related to the transaction target. FIG. 11 is a diagram showing an example of a transaction target information storage unit according to an embodiment. In the example shown in FIG. 11, the transaction target information storage unit 122 includes items such as “transaction target ID”, “transaction target”, “transaction target information”, “category”, and “product specific information”. In addition, in FIG. 11, in order to explain "category" and "product specific information", it is described as a separate item from "transaction target information", but category information and product information are included in the transaction target information. You may.

Further, although not shown, the transaction target information storage unit 122 stores information indicating a cut to which each transaction target corresponds, in addition to the category. For example, the transaction target information storage unit 122 shows information showing a plurality of aspects such as a category, a brand, a usage scene, specifications, a problem that can be solved by the transaction target, and a person's trouble that can be solved by the transaction target. Is stored in association with each transaction target.

The "transaction target ID" is an identifier that identifies the transaction target. The “transaction target” indicates a transaction target associated with the “transaction target ID”. The "transaction target information" is the transaction target information of the transaction target identified by the "transaction target ID".

The "category" is information about the category to which the transaction target identified by the "transaction target ID" corresponds. "Product specific information" is information about a product to which the transaction target identified by the "transaction target ID" corresponds.

For example, in FIG. 11, the transaction target of "M1" identified by the transaction target ID is "MA1". In the example shown in FIG. 11, the transaction target is represented by an abstract code such as "MA1", but the transaction target is a specific character string (product name, etc.) indicating a product or the like sold by each seller. ).

Further, in FIG. 11, the transaction target information of "M1" identified by the transaction target ID is "MD1". In the example shown in FIG. 11, the transaction target information is represented by an abstract code such as "MD1", but the transaction target information may be in a file format or the like including various information related to the transaction target.

Further, in FIG. 11, the category of "M1" identified by the transaction target ID is "CT1". In the example shown in FIG. 11, the category is represented by an abstract code such as "CT1", but the category is information indicating the category to be traded.

Further, in FIG. 11, the product identification information of "M1" identified by the transaction target ID is "PD1". In the example shown in FIG. 11, the product identification information is represented by an abstract code such as "PD1", but the product identification information is used to identify the product to which the transaction target is applicable, if any. Information (eg, JAN code, etc.). Further, the product specific information is information indicating that there is no product corresponding to the transaction target when there is no product corresponding to the transaction target (for example, a flag indicating that there is no corresponding product).

The transaction target information storage unit 122 is not limited to the above, and may store various information depending on the purpose. For example, the transaction target information storage unit 122 may describe information such as a score and a display count corresponding to each transaction target.

(Content storage unit 123)
The content storage unit 123 stores information about the content. FIG. 12 is a diagram showing an example of a content storage unit according to an embodiment. In the example shown in FIG. 12, the content storage unit 123 has items such as "content ID" and "content".

The "content ID" is an identifier that identifies the content. The "content" is information about the content associated with the "content ID". Specifically, the content may indicate information about the content of the content.

For example, the content is content related to a portal site. Further, as another example, the content may be content related to a news site, an auction site, a weather forecast site, a shopping site, a finance (stock price) site, or the like.

Further, the content may be content related to a route search site, a map providing site, a travel site, a restaurant introduction site, a web blog site, an SNS site, or the like.

For example, in FIG. 12, the content of "C1" identified by the content ID is "CO1". In the example shown in FIG. 12, the content or the like is represented by an abstract code such as "CO1", but the content or the like is a file containing a specific numerical value, a specific character string, or various information. It may be in a format or the like.

The content storage unit 123 is not limited to the above, and may store various information depending on the purpose.

(Ranking information storage unit 124)
The ranking information storage unit 124 stores various types of information used to generate the ranking. The ranking information storage unit 124 stores information indicating a standard for ranking a transaction target (ranking standard). The ranking information storage unit 124 stores information indicating a ranking standard that ranks higher in order from the highest score. For example, the ranking information storage unit 124 stores information used for calculating various scores of transaction targets. The ranking information storage unit 124 stores a score function used for calculating various scores to be traded.

The ranking information storage unit 124 is not limited to the above, and may store various information depending on the purpose.

(Control unit 130)
The control unit 130 is a controller, and for example, various programs (information processing programs) stored in a storage device inside the information processing device 100 by a CPU (Central Processing Unit), an MPU (Micro Processing Unit), or the like. One example) is realized by executing RAM as a work area. Further, the control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 9, the control unit 130 includes an acquisition unit 131, a reception unit 132, a determination unit 133, an estimation unit 134, a generation unit 135, and a provision unit 136, and the information described below. Realize or execute the function or action of processing. The internal configuration of the control unit 130 is not limited to the configuration shown in FIG. 9, and may be any other configuration as long as it is configured to perform information processing described later.

(Acquisition unit 131)
The acquisition unit 131 acquires various types of information. The acquisition unit 131 acquires various types of information from the storage unit 120. The acquisition unit 131 acquires various types of information from the user information storage unit 121, the transaction target information storage unit 122, the content storage unit 123, the ranking information storage unit 124, and the like.

The acquisition unit 131 receives various information from an external information processing device via the communication unit 110. The acquisition unit 131 receives various information from the terminal device 10 or the external device 20. For example, the acquisition unit 131 acquires user information about the user from the external device 20. In FIG. 1, as user information, the acquisition unit 131 obtains user attribute information, purchase history in Internet shopping, electronic shopping streets, auction sites, free market sites, etc., content display history, and the like from the external device 20. get. Then, the acquisition unit 131 stores the user information in the user information storage unit 121. For example, the acquisition unit 131 acquires user information from the external device 20 at predetermined intervals and updates the user information stored in the user information storage unit 121.

Further, the acquisition unit 131 acquires information regarding the transaction target from the external device 20. For example, the acquisition unit 131 acquires information regarding a transaction target traded on the auction site or the flea market site from the external device 20. Then, the acquisition unit 131 stores the information regarding the transaction target in the transaction target information storage unit 122. For example, the acquisition unit 131 acquires information on the transaction target from the external device 20 at predetermined intervals, and updates the information on the transaction target stored in the transaction target information storage unit 122.

The acquisition unit 131 acquires transaction target information regarding the transaction target. The acquisition unit 131 acquires transaction target information including the sales history of the transaction target. The acquisition unit 131 acquires transaction target information including the number of transactions target orders. The acquisition unit 131 acquires transaction target information including a period elapsed from the date and time when the transaction target was sold. The acquisition unit 131 acquires transaction target information including the number of sales of the transaction target. The acquisition unit 131 acquires transaction target information including the number of times the information indicating the transaction target has been viewed.

The acquisition unit 131 acquires transaction target information including the number of reviews for the transaction target. The acquisition unit 131 acquires transaction target information including evaluation of the transaction target. The acquisition unit 131 acquires transaction target information including external factors related to the transaction target. The acquisition unit 131 acquires transaction target information including a post regarding a transaction target on the SNS. The acquisition unit 131 acquires transaction target information including the number of searches related to the transaction target. The acquisition unit 131 acquires transaction target information including internal factors related to the transaction target. The acquisition unit 131 acquires transaction target information including an incentive for the transaction target. The acquisition unit 131 acquires transaction target information including a coupon for the transaction target. The acquisition unit 131 acquires transaction target information including a price reduction regarding the transaction target.

The acquisition unit 131 acquires element information related to a plurality of elements included in the transaction target information. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements included in the transaction target information. The acquisition unit 131 acquires a score corresponding to each of the plurality of elements.

The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including the number of orders to be traded. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including the number of times the information indicating the transaction target is viewed. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including the number of reviews for the transaction target. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including the number of reservations to be traded.

The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including external factors related to the transaction target. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including a post regarding a transaction target in SNS. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including the number of searches related to the transaction target. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including internal factors related to the transaction target. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including an incentive for a transaction target. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including a coupon for a transaction target. The acquisition unit 131 acquires element information indicating the tendency of a plurality of elements including a price reduction regarding a transaction target.

Further, the acquisition unit 131 acquires information indicating the number of times of display (the number of times of browsing by the user) for the transaction target from the terminal device 10. For example, the acquisition unit 131 acquires the number of times the content is displayed and the number of times each transaction target is displayed from the terminal device 10. Further, the acquisition unit 131 is acquired by the control information for acquiring the number of impressions provided in advance together with the content. Then, the acquisition unit 131 stores the display number of times in the transaction target information storage unit 122.

(Reception Department 132)
The reception unit 132 receives various requests. The reception unit 132 receives various requests from an external information processing device. The reception unit 132 receives information indicating various requests from an external information processing device via the communication unit 110. For example, the reception unit 132 receives a request from the terminal device 10 or the external device 20. The reception unit 132 receives the search query (query) input by the user from the terminal device 10. For example, the reception unit 132 receives a search query (query) input by the user from the terminal device 10 as a request for providing content related to the query.

(Decision unit 133)
The determination unit 133 executes a determination process for determining various information. For example, the determination unit 133 executes the determination process based on various information acquired by the acquisition unit 131. The determination unit 133 executes the determination process based on various information stored in the storage unit 120. For example, the determination unit 133 executes the determination process based on various information received from the external information processing apparatus.

For example, the determination unit 133 executes the determination process based on the information estimated by the estimation unit 134. For example, the determination unit 133 executes the determination process based on the information generated by the generation unit 135.

The determination unit 133 determines, among a plurality of cuts corresponding to the transaction target, a related cut whose relation with the search query satisfies a predetermined condition. The determination unit 133 determines, among the plurality of cuts, the cut having a high degree of relevance to the search query as the related cut. The determination unit 133 determines, among the plurality of cuts, the cut whose score indicating the degree of relevance to the search query is equal to or higher than a predetermined threshold value as the related cut.

The determination unit 133 determines a related cut among a plurality of cuts including a cut related to the category to be traded. The determination unit 133 determines a related cut among a plurality of cuts including a cut related to the brand to be traded. The determination unit 133 determines a related cut among a plurality of cuts including a cut related to the usage scene of the transaction target. The determination unit 133 determines a related cut among a plurality of cuts including a cut related to the specifications to be traded. The decision unit 133 determines a related cut among a plurality of cuts including a cut related to a problem that can be solved by the transaction target. The decision unit 133 determines a related cut among a plurality of cuts including a cut related to a person's worries that can be solved by the transaction target.

The determination unit 133 determines the target transaction target, which is the transaction target to be displayed as a ranking, based on the transaction target information regarding the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the sales history of the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the number of orders to be traded. The determination unit 133 determines the target transaction target based on the transaction target information including the period elapsed from the date and time when the transaction target was sold.

The determination unit 133 determines the target transaction target based on the transaction target information including the number of sales of the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the number of times the information indicating the transaction target is viewed. The determination unit 133 determines the target transaction target based on the transaction target information including the number of reviews for the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the evaluation of the transaction target.

The decision unit 133 determines the target transaction target based on the transaction target information including external factors regarding the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the post regarding the transaction target in the SNS. The determination unit 133 determines the target transaction target based on the transaction target information including the number of searches related to the transaction target. The decision unit 133 determines the target transaction target based on the transaction target information including the internal factors regarding the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the incentive for the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the coupon for the transaction target. The determination unit 133 determines the target transaction target based on the transaction target information including the price reduction regarding the transaction target.

The determination unit 133 determines a transaction target group having the same product among a plurality of transaction targets corresponding to the search query. The determination unit 133 determines the transaction target group based on the transaction target information of each of the plurality of transaction targets. The determination unit 133 determines the transaction target group based on the transaction target information including the identification information associated with each of the plurality of transaction targets. The determination unit 133 determines the transaction target group based on the transaction target information including the identification information associated with each of the plurality of transaction targets. The determination unit 133 determines the transaction target having the same identification information as the transaction target group. The determination unit 133 determines a transaction target group among a plurality of transaction targets traded in electronic commerce.

The determination unit 133 determines a target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query, based on the user information of the user who entered the search query. The determination unit 133 determines the target transaction target based on the user information including the attribute information of the user. The determination unit 133 determines the transaction target selected by a similar user similar to the user's attribute as the target transaction target. The determination unit 133 determines the transaction target purchased by a similar user similar to the user's attribute as the target transaction target.

The determination unit 133 determines, among the transaction targets, the boost target, which is the transaction target to be boosted in the ranking. The determination unit 133 determines the boost target based on the transaction target information regarding the transaction target.

The determination unit 133 determines the boost target based on the transaction target information including the sales history of the transaction target. The determination unit 133 determines the boost target based on the transaction target information including the number of sales of the transaction target. The determination unit 133 determines the boost target based on the transaction target information including the transition of the number of sales of the transaction target. The determination unit 133 determines the boost target based on the transaction target information including the number of views of the information indicating the transaction target. The decision unit 133 determines the boost target based on the transaction target information including the number of reviews for the transaction target.

The decision unit 133 determines the boost target based on the transaction target information including the external factors regarding the transaction target. The decision unit 133 determines the boost target based on the transaction target information including the post regarding the transaction target in the SNS. The determination unit 133 determines the boost target based on the transaction target information including the number of searches related to the transaction target.

The determination unit 133 determines the timing of the boost process based on the transaction target information. The determination unit 133 determines the timing of the boost process that varies depending on the transaction target. The determination unit 133 determines the timing of the boost process when the transaction target has a variable factor.

The determination unit 133 determines the boost target according to the user to whom the ranking is provided. The determination unit 133 determines the boost target based on the user information about the user. The determination unit 133 determines the boost target among the transaction targets traded in the electronic commerce.

(Estimation unit 134)
The estimation unit 134 executes an estimation process for estimating various information. For example, the estimation unit 134 executes the estimation process based on various information acquired by the acquisition unit 131. The estimation unit 134 executes an estimation process based on various information stored in the storage unit 120. The estimation unit 134 executes estimation processing based on various information received from an external information processing device.

For example, the estimation unit 134 executes the estimation process based on the information determined by the determination unit 133. For example, the estimation unit 134 executes the estimation process based on the information generated by the generation unit 135.

The estimation unit 134 estimates the reason for the ranking of the target transaction target, which is displayed as the ranking, based on the transaction target information regarding the transaction target. The estimation unit 134 estimates the reason based on the tendency of a plurality of elements included in the transaction target information. The estimation unit 134 estimates the reason based on the score corresponding to each of the plurality of elements. The estimation unit 134 estimates the reason based on the element having a high degree of influence among the plurality of elements.

The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the number of orders to be traded. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the number of times the information indicating the transaction target is viewed. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the number of reviews for the transaction target. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the number of reservations of the transaction target.

The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including external factors regarding the transaction target. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the post regarding the transaction target in the SNS. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the number of searches related to the transaction target. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including internal factors regarding the transaction target. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the incentive for the target transaction target. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of elements including the coupon targeting the transaction target. The estimation unit 134 estimates the target transaction target based on the tendency of a plurality of factors including the price reduction regarding the transaction target.

(Generator 135)
The generation unit 135 executes a generation process for estimating various information. For example, the generation unit 135 executes the generation process based on various information acquired by the acquisition unit 131. The generation unit 135 executes the generation process based on various information stored in the storage unit 120. The generation unit 135 executes the generation process based on various information received from the external information processing device.

For example, the generation unit 135 executes the generation process based on the information determined by the determination unit 133. For example, the generation unit 135 executes the generation process based on the information generated by the generation unit 135.

The generation unit 135 generates a ranking based on the transaction target information regarding the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the sales history of the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the number of orders to be traded. The generation unit 135 generates a ranking based on the transaction target information including the period elapsed from the date and time when the transaction target was sold. The generation unit 135 generates a ranking based on the transaction target information including the number of sales of the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the number of views of the information indicating the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the number of reviews for the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the evaluation for the transaction target.

The generation unit 135 generates a ranking based on transaction target information including external factors related to the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the post regarding the transaction target in the SNS. The generation unit 135 generates a ranking based on the transaction target information including the number of searches related to the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the internal factors regarding the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the coupon for the transaction target. The generation unit 135 generates a ranking based on the transaction target information including the price reduction regarding the transaction target.

The generation unit 135 calculates the score of the transaction target based on the transaction target information regarding the transaction target. The generation unit 135 calculates the score of the transaction target by using the function (score function) that outputs the score of the transaction target by inputting the transaction target information of the transaction target. The generation unit 135 generates a ranking of transaction targets based on the calculated score.

The generation unit 135 calculates a partial score corresponding to each of the plurality of elements included in the transaction target information. The generation unit 135 uses a function (score function) that inputs information on a plurality of elements included in the transaction target information and outputs a partial score of the element, and uses each portion of the plurality of elements included in the transaction target information. Calculate the score. For example, the generation unit 135 calculates the average value of the partial scores corresponding to each of the plurality of elements included in the transaction target information as the transaction target score. For example, the generation unit 135 calculates the score of the transaction target by adding up the partial scores corresponding to each of the plurality of elements included in the transaction target information.

The generation unit 135 generates content including the first tab and the second tab. The generation unit 135 generates content including a first tab in which search results corresponding to the search query are arranged and a second tab in which the ranking of transaction targets corresponding to the search query is arranged. The generation unit 135 generates content in which either the first tab or the second tab is displayed in a predetermined display area of the content according to the user's selection. The generation unit 135 generates the content including the first tab and the second tab for the search query input by the user.

The generation unit 135 generates content indicating the ranking of the transaction target based on the related cut and the search query determined by the determination unit 133. When there are a plurality of related cuts determined by the determination unit 133, the generation unit 135 generates content including a plurality of rankings based on each of the plurality of related cuts and the search query. When the generation unit 135 has one related cut determined by the determination unit 133, the generation unit 135 generates the content including one ranking based on one related cut and the search query. The generation unit 135 generates the content of the transaction target to be traded in the electronic commerce. The generation unit 135 generates content to be displayed by switching between the first tab and the second tab according to the user's selection.

The generation unit 135 generates content indicating the ranking of the target transaction target determined by the determination unit 133. The generation unit 135 generates the content of the target transaction target to be traded in the electronic commerce.

The generation unit 135 generates content indicating the reason for the target transaction target estimated by the estimation unit 134. The generation unit 135 generates content in which the reason is arranged in the vicinity of the information indicating the target transaction target in the ranking. The generation unit 135 generates content indicating the reason for the target transaction to be traded in the electronic commerce.

The generation unit 135 generates a ranking with the transaction target group determined by the determination unit 133 as one product. The generation unit 135 generates a ranking in which the transaction target group regarded as one product is one ranking target. The generation unit 135 generates a ranking in which individual transaction targets, which are transaction targets that are not the same product, and products corresponding to the transaction target group are ranked. The generation unit 135 generates a ranking in which individual transaction targets and products are mixed.

The generation unit 135 generates a ranking using the first score of the individual transaction target and the second score of the product. The generation unit 135 generates a ranking using the first score and the second score based on the scores calculated for each of the plurality of transaction targets. The generation unit 135 generates a ranking using the second score of the product calculated based on the number of sales of each of the trading target groups. The generation unit 135 generates a ranking using the second score of the product calculated based on each review of the trading target group. The generation unit 135 generates a ranking using the second score of the product calculated based on the evaluation of the seller who sells each of the plurality of transaction targets.

The generation unit 135 generates content indicating rankings corresponding to other rankings provided to similar users similar to the user's attributes. The generation unit 135 generates content indicating a ranking corresponding to another ranking provided when a similar user selects a transaction target. The generation unit 135 generates a ranking that reflects the result of the boost processing performed on the boost target determined by the determination unit 133.

The generation unit 135 appropriately uses various techniques to generate various information such as screens (contents) to be provided to an external information processing device. The generation unit 135 generates a screen (content) or the like to be provided to the terminal device 10. For example, the generation unit 135 generates a screen (content) or the like to be provided to the terminal device 10 based on the information stored in the storage unit 120. The generation unit 135 generates each content such as content CT1 and CT2. The generation unit 135 may generate the screen (content) by any process as long as the screen (content) to be provided to the external information processing device can be generated. For example, the generation unit 135 generates a screen (content) to be provided to the terminal device 10 by appropriately using various techniques related to image generation, image processing, and the like. For example, the generation unit 135 appropriately uses various techniques such as Java (registered trademark) to generate a screen (content) to be provided to the terminal device 10. The generation unit 135 may generate a screen (content) to be provided to the terminal device 10 based on the format of CSS, JavaScript (registered trademark), or HTML. Further, for example, the generation unit 135 may generate screens (contents) in various formats such as JPEG (Joint Photographic Experts Group), GIF (Graphics Interchange Format), and PNG (Portable Network Graphics).

(Providing Department 136)
The providing unit 136 provides various information. The providing unit 136 transmits various information to an external information processing device via the communication unit 110. The providing unit 136 transmits various information to the terminal device 10 or the external device 20. The providing unit 136 transmits the content to the terminal device 10. The providing unit 136 transmits information regarding the transaction target to the terminal device 10.

The providing unit 136 provides the information generated by the generating unit 135. The providing unit 136 provides the content including the information generated by the generating unit 135. The providing unit 136 provides the content including the ranking of the transaction target. The providing unit 136 transmits the content C1 of FIG. 2 to the terminal device 10.

The providing unit 136 provides the content including the first tab in which the search results corresponding to the search query are arranged and the second tab in which the ranking of the transaction target corresponding to the search query is arranged. The providing unit 136 provides the content generated by the generating unit 135. The providing unit 136 provides the content including the second tab in which the ranking of the transaction target traded in the electronic commerce is arranged.

The providing unit 136 transmits the content to the terminal device 10 used by the user. The providing unit 136 transmits the content to the terminal device 10 that displays either the first tab or the second tab in a predetermined display area of the content according to the user's selection. The providing unit 136 provides the terminal device 10 with contents including the first tab and the second tab for the search query entered by the user.

The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information regarding the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the sales history of the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the trading target information including the number of trading target orders is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the period elapsed from the date and time when the transaction target is sold is arranged.

The provision unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the number of sales of the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the number of views of the information indicating the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the number of reviews for the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the evaluation for the transaction target is arranged.

The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the external factors related to the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the post regarding the transaction target in the SNS is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the number of searches related to the transaction target is arranged.

The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the internal factors regarding the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the coupon for the transaction target is arranged. The providing unit 136 provides the content including the second tab in which the ranking generated based on the transaction target information including the price reduction regarding the transaction target is arranged.

The providing unit 136 provides the content indicating the ranking of the transaction target based on the related cut and the search query determined by the determining unit 133. When there are a plurality of related cuts determined by the determination unit 133, the providing unit 136 provides the content including a plurality of rankings based on each of the plurality of related cuts and the search query. When the number of related cuts determined by the determination unit 133 is one, the providing unit 136 provides the content including one ranking based on one related cut and the search query. The provision unit 136 provides the content to be traded in the electronic commerce. The providing unit 136 transmits the content to the terminal device 10 that switches between the first tab and the second tab and displays the content according to the user's selection.

The providing unit 136 provides content indicating the ranking of the target transaction target determined by the determining unit 133. The providing unit 136 provides the content of the target transaction to be traded in the electronic commerce.

The providing unit 136 provides content indicating the reason for the target transaction target estimated by the estimation unit 134. The providing unit 136 transmits the content including the ranking to the terminal device 10 used by the user. The providing unit 136 transmits the content in which the reason is arranged in the vicinity of the information indicating the target transaction target in the ranking. The providing unit 136 provides content indicating the reason for the target transaction to be traded in the electronic commerce.

The providing unit 136 provides content indicating the ranking generated by the generating unit 135. The providing unit 136 provides the content including the first tab in which the search results corresponding to the search query are arranged and the second tab in which the ranking is arranged.

The provision unit 136 provides a ranking with the transaction target group as one product. The provision unit 136 provides a ranking in which the transaction target group regarded as one product is one ranking target. The provision unit 136 provides a ranking in which individual transaction targets, which are transaction targets that are not considered to be the same product, and products corresponding to the transaction target group are ranked. The provision unit 136 provides a ranking in which individual transaction targets and products are mixed.

The providing unit 136 provides content indicating a ranking corresponding to another ranking provided to a similar user having similar attributes to the user. The providing unit 136 provides content indicating a ranking corresponding to another ranking provided when a similar user selects a transaction target.

The providing unit 136 provides content indicating a ranking that reflects the result of the boost processing. The providing unit 136 transmits the content indicating the ranking reflecting the result of the boost processing to the terminal device 10 used by the user.

[4. Processing procedure]
Next, the procedure of information processing executed by the information processing apparatus 100 according to the embodiment will be described with reference to FIGS. 13 to 19. 13 to 19 are flowcharts showing an example of the flow of information processing executed by the information processing apparatus.

First, FIG. 13 will be described. For example, FIG. 13 shows an example of processing performed by the information processing apparatus 100 from acquisition of a search query from a user to provision of content. In FIG. 13, the information processing apparatus 100 acquires a search query from the user (step S101). Then, the information processing apparatus 100 generates the content including the first tab in which the search result corresponding to the search query is arranged and the second tab in which the ranking of the transaction target corresponding to the search query is arranged (step S102). Then, the information processing apparatus 100 performs the content including the first tab and the second tab (step S103).

Next, FIG. 14 will be described. For example, FIG. 14 shows an example of providing ranking based on a related cut of a query performed by the information processing apparatus 100. In FIG. 14, the information processing apparatus 100 determines, among a plurality of cuts corresponding to the transaction target, a related cut whose relation with the search query satisfies a predetermined condition (step S201). Then, the information processing apparatus 100 provides the content indicating the ranking of the transaction target based on the related cut and the search query (step S202).

Next, FIG. 15 will be described. For example, FIG. 15 shows an example of ranking provision targeting a narrowed-down transaction target performed by the information processing apparatus 100. In FIG. 15, the information processing apparatus 100 determines a target transaction target, which is a transaction target to be displayed as a ranking, based on the transaction target information regarding the transaction target (step S301). Then, the information processing apparatus 100 provides the content indicating the ranking of the target transaction target (step S302).

Next, FIG. 16 will be described. For example, FIG. 16 shows an example of providing a ranking indicating the reason for the ranking performed by the information processing apparatus 100. In FIG. 16, the information processing apparatus 100 estimates the reason for the ranking of the target transaction target displayed as the ranking based on the transaction target information regarding the transaction target (step S401). Then, the information processing apparatus 100 provides content indicating the reason for the target transaction target (step S402).

Next, FIG. 17 will be described. For example, FIG. 17 shows an example of ranking generation in which a product (transaction target) of the same product performed by the information processing apparatus 100 is set as one ranking target. In FIG. 17, the information processing apparatus 100 determines a transaction target group having the same product among a plurality of transaction targets corresponding to the search query (step S501). Then, the information processing apparatus 100 generates a ranking with the transaction target group as one product (step S502). For example, the information processing apparatus 100 provides the generated content.

Next, FIG. 18 will be described. For example, FIG. 18 shows an example of providing a ranking for a transaction target according to a user performed by the information processing apparatus 100. In FIG. 18, the information processing apparatus 100 determines a target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query based on the user information of the user who input the search query (step). S601). Then, the information processing apparatus 100 provides the content indicating the ranking of the target transaction target (step S602).

Next, FIG. 19 will be described. For example, FIG. 19 shows an example of boosted ranking generation of a specific transaction target by the boost process performed by the information processing apparatus 100. In FIG. 19, the information processing apparatus 100 determines a target transaction target, which is a transaction target to be boosted in the ranking, among the transaction targets (step S701). Then, the information processing apparatus 100 generates a ranking that reflects the result of the boost processing performed on the target transaction target (step S702). For example, the information processing apparatus 100 provides the generated content.

[5. Modification example]
The information processing apparatus 100 described above may be implemented in various different forms other than the above-described embodiment. Therefore, in the following, another embodiment of the information processing apparatus 100 will be described.

[5-1. user〕
In the above embodiment, a user registered as a member of a predetermined service has been described as an example, but the present invention is not limited to the above example. For example, the user may be any user, for example, a user who is not registered as a member of a predetermined service.

[5-2. Transaction target]
In the above embodiment, the transaction target traded in the electronic shopping mall has been described as an example, but the present invention is not limited to the above example. For example, the transaction target may be any transaction target. For example, the transaction target may be a transaction target with a limited quantity. Further, the transaction target may be a transaction target traded by Internet shopping, an auction site, a flea market site, or the like.

[5-3. Providing information on transaction targets]
In the above embodiment, an example of information processing in which the information processing device 100 provides the content to the terminal device 10 has been described, but the information processing device 100 may not be limited to the above example. For example, the external server may provide the content to the terminal device 10. In this case, the information processing apparatus 100 may provide information regarding the transaction target to the external server.

For example, an external server provides content related to a portal site as an example of content. In this case, the information processing apparatus 100 may provide an image of the transaction target, information on the layout when arranged in the content, and the like as information on the transaction target to the external server.

[5-4. program〕
Further, the information processing apparatus 100 according to the above-described embodiment is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 20 is a diagram showing an example of a hardware configuration. The computer 1000 is connected to the output device 1010 and the input device 1020, and the arithmetic unit 1030, the primary storage device 1040, the secondary storage device 1050, the output IF (Interface) 1060, the input IF 1070, and the network IF 1080 are connected by the bus 1090. Has.

The arithmetic unit 1030 operates based on a program stored in the primary storage device 1040 or the secondary storage device 1050, a program read from the input device 1020, or the like, and executes various processes. The primary storage device 1040 is a memory device that temporarily stores data used by the arithmetic unit 1030 for various operations such as RAM. Further, the secondary storage device 1050 is a storage device in which data used by the calculation device 1030 for various calculations and various databases are registered, such as a ROM (Read Only Memory), an HDD (Hard Disk Drive), and a flash memory. Is realized by.

The output IF 1060 is an interface for transmitting information to be output to an output device 1010 that outputs various information such as a monitor and a printer. For example, USB (Universal Serial Bus), DVI (Digital Visual Interface), and the like. It is realized by a connector of a standard such as HDMI (registered trademark) (High Definition Multimedia Interface). Further, the input IF 1070 is an interface for receiving information from various input devices 1020 such as a mouse, a keyboard, a scanner, and the like, and is realized by, for example, USB.

The input device 1020 is, for example, an optical recording medium such as a CD (Compact Disc), a DVD (Digital Versatile Disc), a PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), or a tape. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like. Further, the input device 1020 may be an external storage medium such as a USB memory.

The network IF 1080 receives data from another device via the network N and sends it to the arithmetic unit 1030, and also transmits the data generated by the arithmetic unit 1030 to the other device via the network N.

The arithmetic unit 1030 controls the output device 1010 and the input device 1020 via the output IF 1060 and the input IF 1070. For example, the arithmetic unit 1030 loads a program from the input device 1020 or the secondary storage device 1050 onto the primary storage device 1040, and executes the loaded program.

For example, when the computer 1000 functions as the information processing device 100, the arithmetic unit 1030 of the computer 1000 realizes the function of the control unit 130 by executing the program loaded on the primary storage device 1040.

[5-5. others〕
Further, among the processes described in the above-described embodiments and modifications, all or part of the processes described as being automatically performed can be manually performed, or are described as being manually performed. It is also possible to automatically perform all or part of the processed processing by a known method. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the information shown in the figure.

Further, each component of each of the illustrated devices is a functional concept, and does not necessarily have to be physically configured as shown in the figure. That is, the specific form of distribution / integration of each device is not limited to the one shown in the figure, and all or part of them may be functionally or physically distributed / physically in any unit according to various loads and usage conditions. Can be integrated and configured.

Further, the above-described embodiments and modifications can be appropriately combined as long as the processing contents do not contradict each other.

Further, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as an acquisition means or an acquisition circuit.

[6. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes a determination unit 133 and a provision unit 136. The determination unit 133 determines a target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query, based on the user information of the user who entered the search query. The providing unit 136 provides content indicating the ranking of the target transaction target determined by the determining unit 133.

As described above, the information processing apparatus 100 according to the embodiment selects the target transaction target, which is the transaction target to be displayed as a ranking, from the transaction targets corresponding to the search query, based on the user information of the user who input the search query. By providing the content indicating the determined and determined ranking of the target transaction target, it is possible to provide the content according to the user.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 133 determines the target transaction target based on the user information including the attribute information of the user.

As described above, the information processing apparatus 100 according to the embodiment can provide appropriate contents according to the user by determining the target transaction target based on the user information including the attribute information of the user. can.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 133 determines the transaction target selected by a similar user similar to the user's attribute as the target transaction target.

As described above, the information processing apparatus 100 according to the embodiment provides appropriate contents according to the user by determining the transaction target selected by the similar user similar to the user's attribute as the target transaction target. be able to.

Further, in the information processing apparatus 100 according to the embodiment, the determination unit 133 determines the transaction target purchased by a similar user having similar attributes to the user as the target transaction target.

As described above, the information processing apparatus 100 according to the embodiment provides appropriate contents according to the user by determining the transaction target purchased by a similar user similar to the user's attribute as the target transaction target. be able to.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 provides content indicating a ranking corresponding to another ranking provided to a similar user having similar attributes to the user.

As described above, the information processing apparatus 100 according to the embodiment provides content according to the user by providing the content indicating the ranking corresponding to the other ranking provided to the similar user having similar attributes of the user. Can be provided.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 provides content indicating a ranking corresponding to another ranking provided when a similar user selects a transaction target.

As described above, the information processing apparatus 100 according to the embodiment provides content indicating a ranking corresponding to another ranking provided when a similar user selects a transaction target, thereby providing content according to the user. Can be provided.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 provides content indicating the reason for the ranking of the target transaction target.

As described above, the information processing apparatus 100 according to the embodiment can provide the content according to the user by providing the content indicating the reason for the ranking of the target transaction target.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 transmits the content in which the reason is arranged in the vicinity of the information indicating the target transaction target in the ranking.

As described above, the information processing apparatus 100 according to the embodiment can provide the content according to the user by transmitting the content in which the reason is arranged in the vicinity of the information indicating the target transaction target in the ranking.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 provides the content of the target transaction to be traded in the electronic commerce.

As described above, the information processing apparatus 100 according to the embodiment can provide the content according to the user by providing the content of the target transaction to be traded in the electronic commerce.

Further, in the information processing device 100 according to the embodiment, the providing unit 136 transmits the content to the terminal device used by the user.

As described above, the information processing apparatus 100 according to the embodiment can provide the content according to the user by transmitting the content to the terminal device used by the user.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 provides contents including a first tab in which search results corresponding to search queries are arranged and a second tab in which rankings are arranged.

As described above, the information processing apparatus 100 according to the embodiment responds to the user by providing the content including the first tab in which the search result corresponding to the search query is arranged and the second tab in which the ranking is arranged. Content can be provided.

Further, in the information processing device 100 according to the embodiment, the providing unit 136 transmits the content to the terminal device that switches between the first tab and the second tab according to the user's selection.

As described above, the information processing apparatus 100 according to the embodiment responds to the user by transmitting the content to the terminal device that switches between the first tab and the second tab according to the user's selection. Content can be provided.

Further, in the information processing apparatus 100 according to the embodiment, the providing unit 136 displays the content on a terminal device that displays either the first tab or the second tab in a predetermined display area of the content according to the user's selection. To send.

As described above, the information processing apparatus 100 according to the embodiment responds to the user by transmitting the content to the terminal device that switches between the first tab and the second tab according to the user's selection. Content can be provided.

Although some of the embodiments of the present application have been described in detail with reference to the drawings, these are examples, and various modifications are made based on the knowledge of those skilled in the art, including the embodiments described in the disclosure column of the invention. It is possible to carry out the present invention in other modified forms.

N network 1 Information processing system 10 Terminal equipment 20 External equipment 100 Information processing equipment 110 Communication unit 120 Storage unit 121 User information storage unit 122 Transaction target information storage unit 123 Content storage unit 124 Ranking information storage unit 130 Control unit 131 Acquisition unit 132 Reception part 133 Decision part 134 Estimation part 135 Generation part 136 Providing part

Claims (14)

Based on the user information of the user who entered the search query, the decision unit that determines the target transaction target that is the transaction target to be displayed as a ranking from the transaction targets corresponding to the search query, and
A providing unit that provides content indicating the ranking of the target transaction target determined by the determining unit, and a providing unit.
Equipped with
The providing part
An information processing apparatus for providing the content indicating the ranking corresponding to another ranking provided to a similar user similar to the attribute of the user . The decision-making part
The information processing apparatus according to claim 1, wherein the target transaction target is determined based on the user information including the user attribute information. The decision-making part
The information processing apparatus according to claim 2, wherein a transaction target selected by a similar user having similar attributes to the user is determined as the target transaction target. The decision-making part
The information processing apparatus according to claim 2 or 3, wherein a transaction target purchased by a similar user having similar attributes to the user is determined as the target transaction target. The providing part
The information according to any one of claims 1 to 4, wherein the content indicating the ranking corresponding to the other ranking provided when the similar user selects a transaction target is provided. Processing equipment. The providing part
The information processing apparatus according to any one of claims 1 to 5 , wherein the content indicating the reason for the ranking of the target transaction target is provided. The providing part
The information processing apparatus according to claim 6 , wherein the content in which the reason is arranged in the vicinity of the information indicating the target transaction target in the ranking is transmitted. The providing part
The information processing apparatus according to any one of claims 1 to 7 , wherein the content of the subject transaction subject to be traded in an electronic commerce is provided. The providing part
The information processing device according to any one of claims 1 to 8 , wherein the content is transmitted to a terminal device used by a user. The providing part
The information processing apparatus according to claim 9 , wherein the content is provided including a first tab in which search results corresponding to the search query are arranged and a second tab in which the ranking is arranged. The providing part
The information processing device according to claim 10 , wherein the content is transmitted to a terminal device that switches between the first tab and the second tab according to the user's selection. The providing part
10. Claim 10 or claim comprising transmitting the content to a terminal device that displays either the first tab or the second tab in a predetermined display area of the content according to the user's choice. Item 11. The information processing apparatus according to Item 11. It is an information processing method executed by a computer.
Based on the user information of the user who entered the search query, the decision process to determine the target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query, and the determination process.
A providing process for providing content indicating the ranking of the target transaction target determined by the determination process, and a providing process.
Including
The providing process is
Provide the content indicating the ranking corresponding to other rankings provided to similar users similar to the user's attributes.
An information processing method characterized by that. Based on the user information of the user who entered the search query, the decision procedure for determining the target transaction target to be displayed as a ranking from the transaction targets corresponding to the search query, and the determination procedure.
A provision procedure for providing content indicating the ranking of the target transaction target determined by the determination procedure, and a provision procedure.
Let the computer run
The above-mentioned provision procedure
An information processing program characterized by providing the content indicating the ranking corresponding to another ranking provided to a similar user similar to the attribute of the user .

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