JP7104256B1 - Information processing programs, information processing methods, and terminal devices - Google Patents

Abstract

An information processing program, an information processing method, and a terminal device that reduce the processing load of an information processing device that provides content are provided. Kind Code: A1 In an information processing system, a terminal device of a user transmits a search query according to an operation, and presents content corresponding to the intention of the search query provided in response to the search query and the intention of the search query. information is acquired from the information processing device, and the acquired content is displayed on the display unit. The terminal device further acquires the next content following the acquired content according to the intent of the search query, and displays the acquired next content on the display unit. [Selection drawing] Fig. 7

Description

Application of Article 30, Paragraph 2 of the Patent Law Reiwa November 9, 3 Public address https: // topics. shopping. yahoo. co. jp / notebook / archives / 2021111102021. html Reiwa November 19, 3rd public address html: // store-info. yahoo. co. jp / shopping / topics / tool2021 / test / 211119-3. html Posted on December 3, 3rd year of Reiwa and public address https://appstoreconnect. apple. com / apps / 446016180 / appstore / reviewsubmissions / data / e9ae2241-e0f9-4960-9cf0-94d64f0527bf https: // apps. apple. com / jp / app / yahoo-% E3% 82% B7% E3% 83% A7% E3% 83% 83% E3% 83% 94% E3% 83% B3% E3% 82% B0 / id446016180 Reiwa 4th year Posted on January 6th address https://play. google. com / console / u / 0 / developers / 90590031076674808747 / app / 4972974430624390735 / tracks / 469824075917274279260 / releases / 278 / detachs

The present invention relates to an information processing program, an information processing method, and a terminal device.

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

Japanese Patent No. 6776072

However, there is room for improvement in the above-mentioned prior art. For example, in the above-mentioned prior art, the content corresponding to the search query can be provided to the user, but there is room for improvement in providing the user with a plurality of ranking information corresponding to the same search query.

The present application has been made in view of the above, and an object of the present application is to provide an information processing program, an information processing method, and a terminal device capable of reducing the processing load of an information processing device that provides contents.

The information processing program according to the present application causes a computer to execute a transmission procedure, a first acquisition procedure, a first display processing procedure, a second acquisition procedure, and a second display processing procedure. The transmission procedure sends a search query according to the operation by the user. The first acquisition procedure acquires the content according to the intent of the search query provided in response to the search query and the information indicating the intent of the search query. In the first display processing procedure, the content acquired by the first acquisition procedure is displayed on the display unit. The second acquisition procedure is the next content following the content acquired by the first acquisition procedure, and acquires the content according to the intention of the search query. In the second display processing procedure, the next content acquired by the second acquisition procedure is displayed on the display unit.

According to one aspect of the embodiment, there is an effect that the processing load of the information processing apparatus that provides the search result can be reduced.

FIG. 1 is a diagram for explaining an information processing method performed by the information processing apparatus according to the embodiment. FIG. 2 is a diagram showing an example of content provided to a user by the information processing device according to the embodiment. FIG. 3 is a diagram showing an example of classification of scores indicating the degree of relevance of a search query for each of a category and a brand in the information processing apparatus according to the embodiment. FIG. 4 is a diagram showing an example of case classification determination information included in the information processing apparatus according to the embodiment. FIG. 5 is a diagram showing an example of ranking information determination information included in the information processing apparatus according to the embodiment. FIG. 6 is a diagram showing an example of ranking transaction targets in a plurality of cuts in the information processing apparatus according to the embodiment. FIG. 7 is a sequence diagram showing a processing flow in the information processing device and the terminal device when the operation mode of the information processing device according to the embodiment is the first mode. FIG. 8 is a diagram showing an example of displaying contents in the terminal device according to the embodiment. FIG. 9 is a sequence diagram showing a processing flow in the information processing device and the terminal device when the operation mode of the information processing device according to the embodiment is the second mode. FIG. 10 is a diagram showing an example of search results and ranking information provided by the information processing apparatus according to the embodiment. FIG. 11 is a diagram showing another example of ranking information provided by the information processing apparatus according to the embodiment. FIG. 12 is a diagram showing a configuration example of the information processing apparatus according to the embodiment. FIG. 13 is a diagram showing an example of a user information table stored in the user information storage unit according to the embodiment. FIG. 14 is a diagram showing an example of a transaction target information table stored in the transaction target information storage unit according to the embodiment. FIG. 15 is a diagram showing an example of a content table stored in the content storage unit according to the embodiment. FIG. 16 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus according to the embodiment. FIG. 17 is a flowchart showing an example of the flow of the first mode processing executed by the information processing apparatus according to the embodiment. FIG. 18 is a flowchart showing an example of the flow of the second mode processing executed by the information processing apparatus according to the embodiment. FIG. 19 is a flowchart showing an example of the flow of the third mode processing executed by the information processing apparatus according to the embodiment. FIG. 20 is a diagram showing an example of information processing executed by the terminal device according to the embodiment. FIG. 21 is a hardware configuration diagram showing an example of a computer that realizes the functions of the information processing device and the terminal device according to the embodiment.

Hereinafter, the information processing program, the information processing method, and the embodiment for implementing the terminal device (hereinafter referred to as “the embodiment”) according to the present application will be described in detail with reference to the drawings. The information processing program, information processing method, and terminal device according to the present application are not limited by this embodiment. 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 description is omitted.

[1. An example of information processing]
[1.1. Information processing overview]
First, with reference to FIG. 1, an information processing method performed by the information processing apparatus according to the embodiment will be described. FIG. 1 is a diagram for explaining an information processing method performed by the information processing apparatus according to the embodiment.

The information processing device 1 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. FIG. 1 shows, as an example, information processing for a transaction target traded in an electronic shopping district.

In FIG. 1, a case where the information processing device 1 functions as a search device for providing a search result to a terminal device 2 used by a user U who inputs a search query will be described as an example. The input of the search query is performed by inputting the search keyword, and the search query including the search keyword is transmitted from the terminal device 2 to the information processing device 1. The input of the search query is not limited to the input using the keyboard displayed on the terminal device 2, and may be the input by specifying the keyword candidate displayed on the terminal device 2. In the following, the search query will be described as including the search keyword, but the search image may be included in place of or in addition to the search keyword. Further, although only one terminal device 2 is shown in FIG. 1, the information processing device 1 contains a plurality of contents including search results according to search queries transmitted from each of the plurality of terminal devices 2. Provided to each of the terminal devices 2.

The information processing device 1 has, for example, 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 device 1 has a database (also referred to as a "transaction target database") in which transaction targets to be searched by using a search query are indexed and stored, and information on the transaction target database is stored. Execute the search process as the target. For example, the information of the transaction target database is stored in the storage unit 11 (see FIG. 12).

As described above, FIG. 1 describes a case where the information processing device 1 also functions as a search device, that is, the information processing device 1 and the search device are integrated, but the information processing device 1 and the search device are separate bodies. There may be. In this case, the information processing system 100 (see FIG. 12) includes a search device that executes a search process for a search query and provides a search service that provides search results. For example, the information processing device 1 transmits a search query including a search keyword input by the user U to the search device, receives a search result from the search device, and uses the search result to generate content generated by the user U. It is transmitted to the terminal device 2.

For example, when the external device 3 is a search device, the information processing device 1 transmits a search query including a search keyword input by the user U to the external device 3, receives a search result from the external device 3, and searches for the search result. The content generated using the result is transmitted to the terminal device 2 used by the user U. The above system configuration is only an example, and the information processing system 100 may have any device configuration as long as it can provide desired information to the user U who has input the search keyword.

First, the information processing device 1 acquires user information, which is information about the user U, from the external device 3 (step S1). The external device 3 transmits the user information to the information processing device 1. For example, the external device 3 transmits the user information including the attribute information of the user U to the information processing device 1. The attribute information includes, for example, 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 U. For example, the user information may include a history of user U's actions such as actions on the Internet. For example, the user information may include a browsing history of information about a transaction target in an electronic commerce service such as an electronic shopping street, a purchase history, and other behavior histories of the user U.

Further, the information processing device 1 acquires information regarding the transaction target (also referred to as “transaction target information”) from the external device 3 (step S2). For example, the information processing device 1 acquires the transaction target information of the transaction target traded in the electronic shopping district from the external device 3. For example, the information processing device 1 acquires the transaction target information of the transaction target being sold (exhibited) in the electronic shopping district from the external device 3. For example, the information processing device 1 acquires transaction target information of a transaction target from an external device 3 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 View)) 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 the transaction target in the SNS (Social Networking Service). For example, the transaction target information may include the posted information posted by the user U on the SNS. For example, the posted information includes text information posted by user U on Twitter (registered trademark), Facebook (registered trademark), Instagram (registered trademark), YouTube (registered trademark), etc., or image information such as images and videos. It 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 incentive information for the transaction target. For example, the transaction target information may include incentive information given to the user U 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 1 has been described with reference to an example in which the information processing device 1 performs the acquisition process separately in steps S1 and S2. However, the information processing device 1 is a transaction target with user information from the external device 3. Information may be acquired at the same time.

Further, the information processing device 1 receives the search query input by the user U from the terminal device 2 (step S3). For example, when the user U inputs a search keyword, the terminal device 2 transmits a search query including the search keyword input by the user U to the information processing device 1. As a result, the information processing device 1 acquires the search query input by the user U.

For example, when the user U inputs "sneaker" as a search keyword into the terminal device 2, the terminal device 2 transmits a search query including the search keyword "sneaker" input by the user U to the information processing device 1. .. For example, the user U inputs "sneaker" as a search keyword in an input field such as the search box BX1 in FIG. 2, which will be described later.

Then, the information processing apparatus 1 that has received the search query generates a search result corresponding to the search query by a search process using the search query as a process for providing information to the user U (step S4). For example, when the search keyword included in the search query is "sneaker", the information processing apparatus 1 generates a search result corresponding to "sneaker" by a search process using "sneaker". In the following, a search query containing "sneaker" as a search keyword may be described as a search query "sneaker".

The information processing apparatus 1 uses the information in the transaction target database to extract transaction target information corresponding to the search query "sneaker". For example, the information processing apparatus 1 performs a search process on the transaction target database using the search query "sneaker", and extracts the transaction target information corresponding to the search query "sneaker". For example, the information processing device 1 extracts transaction target information including information such as a character string corresponding to the search query "sneaker" in the transaction target information.

It should be noted that the information corresponding to the search query is extracted by using the prior art, 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 1, the information processing device 1 transmits a search query to the search device and receives the search result of the search query from the search device. The information processing device 1 generates the search result of the search query by using the transaction target information extracted as the information corresponding to the search query. For example, the information processing apparatus 1 generates the transaction target list information of the extracted transaction target information as the search result for the search query.

Further, the information processing apparatus 1 estimates the intention of the search query received in step S3 (hereinafter, may be described as the query intention) (step S5). The information processing device 1 estimates, for example, the relevance of the search query to each of the plurality of intention candidates as the intention of the search query. Candidates for intention include, for example, the category of the transaction target, the brand of the transaction target, the usage scene of the transaction target, the specifications of the transaction target, the price range of the transaction target, or the user group of the transaction target.

The information processing device 1 calculates a score indicating the relevance of the search query to each of the plurality of intention candidates based on the search query, and treats these scores or information corresponding to the score as the intention of the search query. In the following, an example in which a plurality of intent candidates are a transaction target category and a transaction target brand will be mainly described, but the intent candidates are not limited to categories and brands.

The information processing device 1 calculates, for example, a score indicating the relevance of a search query to each intention candidate by using an estimation model for each intention candidate, and estimates these scores or information corresponding to the score as a query intention. Can be done. The estimation model is a trained model generated by machine learning, inputs a search keyword included in the search query, and outputs a score indicating the relevance of the search query to the intention candidate.

The estimation model for each candidate intention is generated by machine learning by a neural network such as a convolutional neural network or a recurrent neural network, but is not limited to such an example. For example, the estimation model for each intention candidate may be generated by using machine learning by a learning algorithm such as linear regression or logistic regression instead of the neural network. Further, the information processing device 1 inputs a search keyword included in the search query instead of the estimation model for each intention candidate, and outputs one estimation model indicating the relevance of the search query to a plurality of intention candidates. It can also be used.

Next, the information processing device 1 generates ranking information according to the query intention estimated in step S5 (step S6). For example, the information processing apparatus 1 determines at least the first (highest) ranking information and its type among the types and the arrangement order of the plurality of ranking information provided to the user U based on the query intention. Then, the information processing apparatus 1 generates the first (highest) ranking information in the determined arrangement order as the ranking information of the determined type. The type of ranking information is defined by, for example, the cut of the ranking and the display format of the ranking information.

The starting point of the ranking is the viewpoint (viewpoint) for the transaction target. For example, from the viewpoint (viewpoint) of a 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, and people who can be solved by the transaction target It includes various perspectives (points of view) that correspond to the transaction target, such as worries.

The ranking information display format is an arrangement format of a plurality of ranking elements constituting the ranking information, and includes a list format (an example of a first display format) and a grid format (an example of a second display format). The list format is a display format in which a plurality of ranking elements constituting ranking information are arranged in a single column, and the grid format is a display format in which a plurality of ranking elements are arranged in a matrix of n rows × m columns. .. n and m are integers of 2 or more.

The display format of the ranking information may include a display format in which a plurality of ranking elements are arranged in one line in place of or in addition to the second display format. Further, the display format of the ranking information may be divided into a display format including a photo of the transaction target and a display format not including the photo of the transaction target.

The information processing device 1 determines, for example, the types of a plurality of ranking information to be provided to the user U based on the query intention, and the ranking information having a higher relevance to the query intention is prioritized and has a plurality of higher order. It is determined as the order of the ranking information of.

For example, the information processing device 1 sets the score indicating the relevance of the search query to the category that further classifies the category specified by the search query and the relevance of the search query to the brand to be traded in the category specified by the search query. Based on this, the types and order of multiple ranking information are determined.

As described above, the information processing apparatus 1 generates the first ranking information in the determined arrangement order as the ranking information of the determined type. Here, assuming that the cut indicated by the type of the first ranking information is the first cut, the information processing apparatus 1 extracts or determines the transaction target to be the ranking element in the first cut, and each transaction target extracted or determined. Performs the process of calculating the score for. Hereinafter, the transaction target that is the ranking element extracted or determined in the first cut may be described as the first transaction target.

The information processing device 1 ranks the first transaction target using the calculated score, and generates ranking information in which a plurality of ranking elements are arranged in a display format indicated by the determined type. For example, the information processing apparatus 1 generates ranking information by assigning a higher rank to a ranking element in order from the highest score and arranging a plurality of ranking elements up to a higher preset rank from the highest rank.

For example, the information processing device 1 calculates the score of the transaction target extracted or determined as a ranking element in the first cut based on the transaction target information regarding the first transaction target. The information processing device 1 calculates the score of the first transaction target by using the score function which is a function of inputting the transaction target information of the first transaction target and outputting the score of the first transaction target. The information processing device 1 uses a score function in which the output value increases as a plurality of factors such as the number of orders, the order amount, and the number of views (number of PVs) of the first transaction target increase. The score may be calculated.

For example, the information processing device 1 is a value obtained by multiplying each of a plurality of elements such as the number of orders, the order amount, and the number of views (number of PVs) of the first transaction target by the weight (coefficient) of each element (hereinafter, "part". The score of the first transaction target is calculated using "Score"). The information processing device 1 may calculate the sum of the partial scores of each of the plurality of elements of the first transaction target as the score of the first transaction target. The information processing device 1 may calculate the average of the partial scores of each of the plurality of elements of the first transaction target as the score of the first transaction target.

Further, the information processing device 1 uses the aggregated value aggregated for each predetermined period for each of a plurality of elements such as the number of orders, the order amount, and the number of views (number of PVs) of the first transaction target, and is the first transaction target. The score of may be calculated. The information processing device 1 may calculate the score of the first transaction target by using the aggregated value aggregated for each date for each of the plurality of elements of the first transaction target. In this case, the information processing apparatus 1 uses the period score, which is the product of the aggregated value of a plurality of elements of the first transaction target aggregated for each predetermined period and the weight (coefficient) of each element, for the first transaction. The score of the target may be calculated. The information processing apparatus 1 may calculate the score of the first transaction target using a value obtained by multiplying the period score of each period by an attenuation coefficient corresponding to the difference between the period and the calculation time point. The information processing apparatus 1 may calculate the score of the first transaction target by using a value obtained by multiplying the period score of each period by an attenuation coefficient whose value becomes smaller in the past period.

The above is only an example, and the information processing apparatus 1 may use any information to calculate the score of the first transaction target. The information processing device 1 may correct the score of the first transaction target by using the calculated score of the first transaction target with a coefficient based on the evaluation of the seller (store) that sells the transaction target. The information processing device 1 may correct the score of the first transaction target by multiplying the calculated score of the first transaction target by a coefficient based on the evaluation of the seller who sells the transaction target.

Then, the information processing device 1 uses the content including the search result corresponding to the search query and the ranking information having the first order among the plurality of ranking information corresponding to the search query, and the specific information. The provided information, which is the information to be provided to U, is generated (step S7). The specific information is information for specifying the ranking information having the second highest ranking position or all the ranking information after the second ranking position. The information processing device 1 has, in addition to the search result corresponding to the search query and the ranking information corresponding to the search query, the first tab for displaying the search result corresponding to the search query, and the ranking information corresponding to the search query. Generate content that includes a second tab for displaying.

Then, the information processing device 1 includes content and specific information including the search result corresponding to the search query and the ranking information (an example of the first ranking information) having the first order among the plurality of ranking information corresponding to the search query. The provided information including the above is transmitted to the terminal device 2 used by the user U who has input the search query (step S8). For example, when the operation mode is the first mode, the information processing apparatus 1 includes information indicating the query intention estimated in step S5 as specific information. Further, for example, when the operation mode is the second mode, the information processing apparatus 1 has the second highest ranking information (second cut) determined based on the information indicating the query intention estimated in step S5 as specific information. (Ranking information of) is included (an example of the first parameter) for specifying.

The terminal device 2 displays one of the search result and the first rankin information included in the provided information transmitted from the information processing device 1. In the terminal device 2, when the display state of the first ranking information is in a predetermined state in the state where the first ranking information is displayed, the arrangement position is from the highest position based on the specific information. The information processing apparatus 1 is requested to transmit the second ranking information (an example of the second ranking information). When the display state of the first ranking information is in a predetermined state, the area of the first ranking information displayed on the terminal device 2 becomes a preset area by scrolling or the like. If this is the case.

For example, when the specific information is a parameter, the terminal device 2 transmits a query including the parameter to the information processing device 1. Further, when the specific information is the information indicating the query intention, the terminal device 2 determines the parameter for specifying the second highest ranking information from the information indicating the query intention, and the terminal device 2 processes the query including the determined parameter with the information processing device. Send to 1. The information processing device 1 generates the second ranking information which is the ranking information corresponding to the parameters included in the query, and transmits the generated second ranking information to the terminal device 2. The terminal device 2 displays the second ranking information transmitted from the information processing device 1. In the information processing apparatus 1, the second ranking information generation method is the same as the first ranking information generation method except that the cuts are different.

Here, an example of the content provided to the terminal device 2 will be described with reference to FIG. FIG. 2 is a diagram showing an example of content provided to the user U from the information processing device 1 according to the embodiment. In FIG. 2, the content C provided from the information processing device 1 to the terminal device 2 and displayed on the terminal device 2 includes a search box BX1, a first tab TB1, a second tab TB2, and a second tab content C2. .. In the search box BX1 shown in FIG. 2, "sneaker" is shown as a search keyword input by the user U. The content C also includes the first tab content C1 (see FIG. 10), which will be described later.

The first tab TB1 shown in FIG. 2 is a GUI (Graphical User Interface) selected for displaying the first tab content C1 (see FIG. 10) described later on the terminal device 2, and the second tab shown in FIG. TB2 is a GUI selected for displaying the second tab content C2 on the terminal device 2. The first tab content C1 and the second tab content C2 are selectively displayed in the display area AR of the content C by operating the first tab TB1 or the second tab TB2.

In FIG. 2, when the first tab TB1 is selected by the user U, the first tab content C1 in which the search result of the search query “sneaker” is arranged is displayed in the display area AR. Further, when the second tab TB2 is selected by the user U, the second tab content C2 in which a plurality of ranking information of the transaction target corresponding to the search query "sneaker" is arranged is displayed in the display area AR.

FIG. 2 shows a state in which the second tab TB2 is selected, and the terminal device 2 displays the second tab content C2 in which the ranking information of the transaction target corresponding to the search query “sneak” is arranged in the display area AR. Specifically, in the display area AR of the content C, ranking information in which a plurality of transaction targets corresponding to the search query "sneaker" are arranged in order from the highest score as a ranking element is displayed as the second tab content C2. To.

In this way, the information processing device 1 switches between the first tab content C1 and the second tab content C2 according to the selection of the user U, and displays the content displayed in the display area AR on the terminal device 2 of the user U. offer. As a result, when the user U who uses the terminal device 2 provided with the content C simply wants to see the search result, he / she wants to display the first tab content C1 on the terminal device 2 and see the ranking information. Displayes the second tab content C2 on the terminal device 2. In the case of the content C in which the information is switched and displayed in this way, the user U who uses the terminal device 2 switches the display and displays the content on the terminal device 2 according to the content he / she wants to see, and confirms the content. can do. Therefore, the information processing device 1 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. 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. Query Intent Estimate]
The information processing device 1 can also estimate the query intention by dividing the score indicating the relevance of the search query to each of the plurality of intention candidates into a plurality of ranges. For example, the information processing apparatus 1 divides the score indicating the relevance of the search query for each of the categories and brands into M stages. M is an integer greater than or equal to 2.

FIG. 3 is a diagram showing an example of classification of scores indicating the degree of relevance of the search query to each of the categories and brands in the information processing apparatus 1 according to the embodiment. In the example shown in FIG. 3, the information processing apparatus 1 divides the score indicating the relevance of the search query for each of the categories and brands into three stages of a first range, a second range, and a third range.

The first range is a range in which the score indicating the degree of relevance is less than the first threshold Th1, and indicates, for example, that there is no relevance to the intention candidate. The second range is a range in which the score indicating the degree of relevance ranges from the first threshold value Th1 to the second threshold value Th2 (> Th1). Indicates that it cannot be cut. The third range indicates that the score indicating the degree of relevance is in the range above the second threshold Th2, and for example, the intention candidate is narrowed down to one specific range. The first threshold value Th1 and the second threshold value Th2 are, for example, Th1 = 0.1 and Th2 = 0.9, but are not limited to such examples. Further, the first threshold value Th1 and the second threshold value Th2 may be set for each intention candidate.

In the example shown in FIG. 3, the first range is represented as "unintentional", the second range is represented as "N strong", and the third range is represented as "1 strong". There is. Further, in the following, the relevance of the search query to the brand may be described as the category intent, and the relevance of the search query to the brand may be described as the brand intent.

Categories are defined, for example, in a tree-like hierarchy. In this case, the category intent is a little over 1 when one of the categories at the bottom of the tree-like hierarchy can be narrowed down. Further, the category intention is N strong when two or more bottom layer categories (or preset number of bottom layer categories) can be narrowed down from a plurality of bottom layer categories. The two or more bottom layer categories are, for example, the bottom layer categories in which the upper layer categories of the tree-like hierarchy are the same or similar, but are not limited to such examples. Further, the category intention is unintentional when one of two or more bottom layer categories cannot be narrowed down from a plurality of bottom layer categories in which the categories immediately above the tree-like hierarchy are the same. .. The category intention is unintentional, for example, when the category specified by the search query is a category higher than the lowest layer.

For example, the category "Sneaker" is a middle category that classifies the major category "shoes". The sub-category categories that categorize the middle category "sneakers" are the category "ladies' sneakers", the category "men's sneakers", the category "ladies slip-ons", and the category "children's sneakers". Women's slip-ons are not sneakers, but both sneakers are frequently searched or selected. The sub-category category that classifies the category "sneaker" is an example of the lowest category in the tree-like hierarchy.

In this case, the category intent is "1st strength" when narrowing down to one sub-category category (bottom layer category), and 2 or more categories out of a plurality of sub-category categories (bottom layer category). When narrowing down to (less than 4 categories), it is "N strong". Further, when it is not possible to narrow down to two or more categories (less than four categories) among a plurality of sub-category categories (bottom layer categories), the category intention is "unintentional".

Further, for example, when the brand intention cannot be narrowed down to two or more brands (or brands of a specified number or less) among a plurality of brands, it is "unintentional", and two or more brands among a plurality of brands (or two or more brands). Or, if it can be narrowed down to a specified number of brands or less, it is "N strong", and if it can be narrowed down to one sub-category brand, it is "1 strong".

It should be noted that the classification of the score indicating the relevance of the search query to each of the plurality of intention candidates may be two stages or four or more stages instead of the three stages. The result of classifying the scores indicating the relevance of the search query to each of the plurality of intention candidates is an example of the information indicating the relevance of the search query to each of the plurality of intention candidates. Further, the information processing apparatus 1 can also use a score indicating the degree of relevance of the search query for each of the plurality of intention candidates without classifying them. In this case, the score indicating the relevance of the search query to each of the plurality of intention candidates is an example of the information indicating the relevance of the search query to each of the plurality of intention candidates.

[1.2.2. Determining the type and display format of ranking information]
The information processing device 1 determines the type and order of a plurality of ranking information provided to the user U based on the query intention. The type of ranking information is defined by, for example, the cut of the ranking and the display format of the ranking information, but is not limited to such an example.

In addition to the query intent, the information processing device 1 can also determine the type and order of a plurality of ranking information provided to the user U by using the search keyword included in the search query. In this case, the information processing apparatus 1 determines whether or not the search keyword included in the search query specifies one of the lowest layer categories. Further, the information processing apparatus 1 determines whether or not the search keyword included in the search query specifies one brand.

In the following, when the search keyword specifies one bottom layer category, it may be described as "category specified", and if not, it may be described as "category not specified". Further, when one search keyword specifies one brand, it may be described as "with brand designation", and if not, it may be described as "without brand designation". In addition, the determination result of whether or not the category and brand are specified may be described as "query specification determination result".

The information processing device 1 determines the type and order of a plurality of ranking information provided to the user U based on the query intention and the query designation determination result. For example, the information processing apparatus 1 determines the type and order of a plurality of ranking information provided to the user U based on the combination of the query designation determination result, the category intention, and the brand intention.

The information processing device 1 has case classification determination information in which the types and order of a plurality of ranking information provided to the user U are associated with each combination of category designation, category intention, brand designation, and brand intention. .. The information processing device 1 determines which case of the case classification determination information corresponds to the combination of the determined category designation, category intention, brand designation, and brand intention.

FIG. 4 is a diagram showing an example of case classification determination information included in the information processing apparatus 1 according to the embodiment. In the case classification determination information shown in FIG. 4, for example, case K1 is applied when there is a category designation or the category intention is a little over 1, and there is no brand designation and the brand intention is unintention. In addition, case K2 is applied when there is a category designation or the category intent is a little over 1, and there is no brand designation and the brand intent is a little over N. In addition, case K3 is applied when there is a category designation or the category intent is a little over 1 and there is a brand designation or the brand intent is a little over 1.

Further, case K4 is applied when there is no category designation and the category intention is N strong, and there is no brand designation and the brand intention is unintention. Further, case K5 is applied when there is no category designation and the category intent is N strong, and there is no brand designation and the brand intent is N strong. Further, case K6 is applied when there is no category designation, the category intent is N strong, and there is a brand designation or the brand intent is 1 strong.

Further, case K7 is applied when there is no category designation and the category intention is unintention, and there is no brand designation and the brand intention is unintention. Further, case K8 is applied when there is no category designation and the category intention is unintention, and there is no brand designation and the brand intention is N strong. Further, case K9 is applied when there is no category designation, the category intention is unintention, and there is a brand designation or the brand intention is a little over 1.

The information processing device 1 determines the type and order of the plurality of ranking information provided to the user U based on the information of the type and the order of the plurality of ranking information associated with the determined case. The information processing device 1 has, for example, ranking information determination information in which information on the type and order of ranking information is defined for each case, and is provided to the user U by using the ranking information determination information. Determine the type and order of multiple ranking information to be processed.

FIG. 5 is a diagram showing an example of ranking information determination information included in the information processing apparatus 1 according to the embodiment. In the ranking information determination information shown in FIG. 5, the type and order of ranking information are defined for each of the cases K1 to K9.

In case K1, "1 category synthesis" and "list format" are defined as the first ranking information type (ranking cut and display format), and "query synthesis" and "grid" are defined as the second ranking information type. The format is specified. "1 category synthesis" indicates that the ranking cut is a cut that ranks a plurality of transaction targets included in one lowest-level category specified by category designation or category intention without brand limitation. "Query synthesis" indicates that it is a way to rank a plurality of transaction targets narrowed down by a search by a search keyword included in a search query without limitation of category and brand.

When the case determined from the query intention and the query specification determination result is case K1, the information processing apparatus 1 determines the type of the first ranking information as "1 category comprehensive" and "list format", and the second ranking. Determine the type of information as "query synthesis" and "grid format".

In case K2, "1 category synthesis" and "grid format" are defined as the first ranking information type (ranking cut and display format), and "multi-brand" and "grid" are defined as the second ranking information type. "Format" is defined, and "query synthesis" and "grid format" are defined as the third type of ranking information. “Multi-brand” indicates a group of cuts including a plurality of cuts that rank a plurality of transaction targets included in one lowest-level category specified by category designation or category intent by brand.

Here, it is assumed that the case determined from the query intention and the query specification determination result is case K2 and the brands are brands # 1 to # 3. In this case, the information processing apparatus 1 determines the type of the first ranking information as "1 category comprehensive" and "grid format", and sets the type of the second to fourth ranking information as "1 category brand # 1". , "Grid format", "1 category brand # 2" and "grid format", and "1 category brand # 3" and "grid format".

As for the arrangement positions of "1 category brand # 1," "1 category brand # 2", and "1 category brand # 3", the one with the highest score of the corresponding brand has the highest priority. The brand score is calculated by, for example, the same calculation method as the score of the transaction target. For example, the brand score is the sum of the scores of the transaction targets included in the brand among multiple transaction targets included in the non-bottom category (for example, the category "Sneaker") specified by the search keyword, or the search keyword. It may be the total value of the scores of a preset number of transaction targets included in the brand and having a higher score among a plurality of transaction targets included in the non-bottom layer category specified in. "1 category brand #P" (P is any of 1 to 3) is a transaction target of brand #P among a plurality of transaction targets included in one lowest category specified by category designation or category intention. Indicates that it is a way to rank.

Similarly, when the case determined from the query intention and the query designation determination result is any of cases K3 to K9, the information processing apparatus 1 determines the type and order of ranking information corresponding to the determined case. Determine using the table.

In FIG. 5, "1 category & 1 brand synthesis" is specified by brand designation or brand intention among a plurality of transaction targets included in one lowest category specified by category designation or category intention. Indicates that it is a way to rank multiple trading targets of one brand. In addition, "1 brand synthesis" is one brand specified by brand designation or brand intention among a plurality of transaction targets included in the non-bottom category (for example, category "Sneaker") specified by category designation. Indicates that it is a way to rank the trading targets of.

In addition, "multi-brand (1 category)" is, for example, a category that satisfies a specific condition (for example, a category with the highest category score) or is randomly selected from a plurality of categories specified by category designation or category intention. Indicates a group of cuts that includes multiple cuts that rank the transaction targets of the categories by brand. The score of the category is calculated by, for example, the same calculation method as the score of the transaction target. For example, the category score is the average of the scores of multiple trading targets included in the target category, or the score of a preset number of trading targets among the multiple trading targets included in the target category. It may be the total value of.

Further, the "multi-category" indicates, for example, a group of cuts including a plurality of cuts for ranking a plurality of transaction targets for each lower category of the category specified by the search keyword. For example, when the category specified by the search keyword is "sneakers", the plurality of lower categories are women's sneakers, men's sneakers, women's slip-ons, children's sneakers, and the like.

"One brand synthesis" is a way to rank multiple transaction targets of one brand specified by brand designation or brand intention among multiple transaction targets included in the category specified by the search keyword. show.

The method of determining the type and order of ranking information by the information processing apparatus 1 is not limited to the above-mentioned example. For example, the ranking information determination information is not limited to the example shown in FIG. Further, the ranking information determination information may be provided for each attribute of the user U. In this case, the information processing apparatus 1 determines the type and order of ranking information by using the ranking information determination information corresponding to the attribute of the user U who has input the search query.

Further, the above is only an example, and the information processing apparatus 1 may determine the type and order of ranking information by appropriately using various information in addition to or instead of the query intention. The information processing device 1 may determine the cut according to the user attribute or the trouble of the user U in addition to or instead of the query intention. Further, the information processing device 1 may determine a cut based on the search history. For example, the information processing apparatus 1 may determine the cut based on the interest estimated from the search history in addition to or instead of the query intention.

Further, the ranking information determination information may be provided for each non-bottom layer category. In this case, if the category specified by the search keyword included in the search query is the non-bottom layer category, the information processing device 1 corresponds to the non-bottom layer category specified by the search keyword included in the search query. The type and order of ranking information are determined using the ranking information determination information.

[12.3. Generation of ranking information from the determined cut]
The information processing device 1 ranks a plurality of transaction targets at each of a plurality of different cuts determined as described above, and generates a plurality of ranking information. FIG. 6 is a diagram showing an example of ranking transaction targets in a plurality of cuts in the information processing apparatus 1 according to the embodiment. Note that FIG. 6 shows a state in which each cut is divided for the sake of explanation.

Further, in FIG. 6, abstract character strings such as cut edge # 1, cut edge # 2, ... Are shown, but these cut edges are, for example, when the case determined by the information processing device 1 is case K1. It is information indicating a concrete cut such as "1 category synthesis" and "query synthesis".

For example, the information processing device 1 has a transaction target corresponding to each of the cut # 1, the cut # 2, ... Of the transaction targets (search result transaction targets) included in the search result of the search process using the search query. To determine (specify). For example, the information processing apparatus 1 uses the transaction target information of the search result transaction target to determine the transaction target corresponding to each of the cut # 1, the cut # 2, ....

The information processing apparatus 1 generates the ranking of the cut end # 1 by ranking the transaction target corresponding to the cut end # 1 as the ranking element of the cut end # 1. For example, the information processing apparatus 1 calculates a score for a transaction target corresponding to the cut end # 1 which is a ranking element, 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 with reference to FIG. 1, the description thereof will be omitted. For example, the information processing apparatus 1 generates ranking information of the cut end # 1 by assigning a higher ranking in order from the highest score.

The list information TA1 shown in FIG. 6 is information 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 transaction target of the rank "1st place" is the transaction target of the transaction target ID "M34", and the score is "0.94". The transaction target of the rank "2nd place" is the transaction target of the transaction target ID "M7", and the score is "0.89". The transaction target of the rank "3rd place" is the transaction target ID "M1 transaction target", and the score is "0.85". The information processing apparatus 1 generates ranking information of the cut end # 1 by using the information as shown in the list information TA1.

Similarly, the information processing apparatus 1 generates the ranking of the cut # 2 by ranking the transaction target corresponding to the cut # 2 as the ranking element of the cut # 2. For example, the information processing apparatus 1 calculates a score for a transaction target corresponding to the cut end # 2 which is a ranking element, and generates ranking information of the cut end # 2 using the calculated score.

The list information TA2 shown in FIG. 6 is information 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 transaction target of the rank "1st place" is the transaction target of the transaction target ID "M162", and the score is "0.84". The transaction target of the rank "2nd place" is the transaction target of the transaction target ID "M78", and the score is "0.74". The transaction target of the rank "3rd place" is the transaction target of the transaction target ID "M18", and the score is "0.73". The information processing apparatus 1 generates ranking information of the cut end # 2 by using the information shown in the list information TA2.

When the information processing apparatus 1 has a cut other than the cuts # 1 and # 2, the information processing apparatus 1 generates ranking information of the cuts other than the cuts # 1 and # 2 by the same processing.

[12.4. About processing for each operation mode]
[1.2.4.1. Example of processing flow when the operation mode is the first mode]
FIG. 7 is a sequence diagram showing a processing flow in the information processing device 1 and the terminal device 2 when the operation mode of the information processing device 1 according to the embodiment is the first mode.

When the search keyword is input to the input field such as the search box BX1 by the user U (step S10), the terminal device 2 transmits a search query including the input search keyword to the information processing device 1 (step S11). .. The information processing device 1 receives a search query transmitted from the terminal device 2 (step S12), and estimates the query intention which is the intention of the received search query (step S13). In step S13, the information processing apparatus 1 estimates, for example, information indicating the relevance of the search query to each of the plurality of intention candidates as the query intention.

The information processing device 1 generates the first (highest) ranking information among the plurality of ranking information according to the query intention as the first content (step S14). For example, when the case corresponding to the query intention is the case K1 described above, the information processing apparatus 1 generates ranking information with "1 category synthesis" as the first content. Further, when the case corresponding to the query intention is the case K6 described above, the information processing apparatus 1 generates ranking information with "1 brand synthesis" as the first content.

Next, the information processing device 1 transmits the provided information including the information indicating the query intention estimated in step S13 and the first content generated in step S14 to the terminal device 2 (step S15). The provided information transmitted to the terminal device 2 in step S15 includes, for example, a search result corresponding to a search query. The information indicating the query intention included in the provided information includes, for example, the category specified by the search query, the query specification determination result, and the information indicating the relevance of the search query to each of the plurality of intention candidates. The information indicating the relevance of the search query to each of the plurality of intention candidates is, for example, information in which the score indicating the relevance of the search query to each of the plurality of intention candidates is divided into a plurality of stages.

For example, in the case of the search query "sneaker", the category specified by the search query is the category "sneaker", each of the category intent and the brand intent is N strong, and the query specification judgment result is no category specification and No brand designation. In the case of the search query "Sneaker Ladies", the category specified by the search query is the category "Ladies Sneaker", the category intent is a little over 1, the brand intent is a little over N, and the query specification judgment result. Is with category designation and without brand designation. Further, in the case of the search query "Sneaker brand # 1", the category specified by the search query is the category "Sneaker", the category intent is N strong, the brand intent is 1 strong, and the query specification judgment. The results are uncategorized and branded.

The terminal device 2 receives the provided information transmitted from the information processing device 1 and displays the first content based on the received provided information (step S16). The first content is, for example, the second tab content C2 shown in FIG. In addition, the terminal device 2 can also display the search result corresponding to the search query instead of the first content in the search history included in the provided information according to the operation of the user U. The search result corresponding to the search query is the first tab content described above.

FIG. 8 is a diagram showing an example of displaying contents in the terminal device 2 according to the embodiment. In the example shown in FIG. 8A, the first ranking information RK1 is displayed on the terminal device 2 as the first content. By operating the terminal device 2 (for example, scrolling operation), the user U can confirm the information of the ranking element of the fourth place or lower in the first ranking information RK1. By operating the terminal device 2 (for example, scrolling operation), the user U changes the area displayed on the terminal device 2 in the first ranking information RK1, for example, the first ranking. Information Information on the ranking element of the final ranking (20th place in this case) in RK1 can be confirmed.

When the display state of the first ranking information RK1 which is the first content satisfies a predetermined condition (step S17), the terminal device 2 determines the first parameter which is a parameter for specifying the second ranking information. (Step S18). The predetermined condition is, for example, that the area displayed on the terminal device 2 in the first ranking information RK1 is a specific area. For example, when the area shown in FIG. 8B of the first ranking information RK1 becomes the display area, the terminal device 2 satisfies the predetermined condition that the display state of the first ranking information RK1 is displayed. Is determined. The predetermined condition may be the condition of the elapsed time since the first ranking information RK1 is displayed on the terminal device 2, and the user U may perform a specific operation on the terminal device 2. It may be. Further, predetermined conditions may be set for each user U.

When the display state of the first ranking information RK1 satisfies a predetermined condition, the terminal device 2 determines a parameter for specifying the second ranking information based on the information indicating the query intention included in the provided information. do. The information indicating the query intention included in the provided information is, for example, information indicating the relevance of the search query to each of the plurality of intention candidates. The terminal device 2 has, for example, the case classification determination information shown in FIG. 4 and the ranking information determination information shown in FIG. 5, and the second ranking is based on the information indicating the query intention included in the provided information. Determine the first parameter to identify the information.

The first parameter is, for example, a parameter element indicating a category specified by a search query, a parameter element indicating a cut edge of the second ranking information, and a parameter element indicating that the display format of the second ranking information is a list format. And so on. For example, when the ranking cut of the second ranking information is "1 category comprehensive", the first parameter is a parameter element indicating the category specified in the search query, a parameter element indicating the cut "1 category comprehensive", and Includes parameter elements that indicate that the display format is list format. In the first parameter, a plurality of parameter elements are separated from each other by, for example, comma-separated values or space-separated values. The first parameter is not limited to the above-mentioned example. That is, the first parameter is not limited to the above-mentioned example as long as the second ranking information can be specified.

The terminal device 2 transmits a query including the first parameter determined in step S18 to the information processing device 1 (step S19). When the information processing device 1 receives the query including the first parameter, the information processing device 1 generates the second ranking information specified by the first parameter as the second content (step S20), and the generated second content is sent to the terminal device 2. Transmit (step S21).

The terminal device 2 receives the second content transmitted from the information processing device 1 and displays the received second content (step S22). For example, the terminal device 2 displays the second ranking information RK2 as the second content, as shown in FIG. 8C. When the display state of the second ranking information RK2, which is the second content, satisfies a predetermined condition (step S23), the terminal device 2 determines the second parameter, which is a parameter for specifying the third ranking information. (Step S24). The fact that the display state of the second ranking information RK2 satisfies the predetermined condition means that, for example, the area of the second ranking information RK2 displayed on the terminal device 2 becomes a specific area. Other conditions may be used as in the case of the first ranking information RK1. Further, the second parameter is, for example, a parameter element indicating a category specified by a search query, a parameter element indicating a cut edge of the third ranking information, and a display of the third ranking information, as in the format of the first parameter. It includes parameter elements indicating that the format is a list format, but is not limited to such an example together with the first parameter.

The terminal device 2 transmits a query including the second parameter determined in step S24 to the information processing device 1 (step S25). When the information processing device 1 receives the query including the second parameter, the information processing device 1 generates the third ranking information specified by the second parameter as the third content (step S26), and the generated third content is sent to the terminal device 2. Transmit (step S27). The terminal device 2 receives the third content transmitted from the information processing device 1 and displays the received third content (step S28). When the number of the plurality of ranking information determined by the query intention is 4 or more, the information processing device 1 and the terminal device 2 perform the same processing.

The information indicating the query intention transmitted from the information processing device 1 to the terminal device 2 is not limited to the information in which the scores indicating the relevance of the plurality of intention candidates to each search query are divided into a plurality of stages. It may be a score indicating the degree of relevance to each search query of the intent candidate. In this case, the terminal device 2 uses the information shown in FIG. 3 to classify the scores indicating the degree of relevance to each search query of the plurality of intention candidates into a plurality of stages.

As described above, in the information processing device 1 according to the embodiment, after the first ranking information is transmitted to the terminal device 2 based on the query intention, the type and the order of the second and subsequent ranking information are determined by the terminal device 2. It is determined. Therefore, in the information processing system 100 (see FIG. 12) according to the embodiment, the processing load of the information processing device 1 can be reduced.

In the above-mentioned example, the content whose type and order are determined based on the query intention is ranking information, but the content is not limited to such an example and may be content other than ranking information.

[1.2.4.2. Example of processing flow when the operation mode is the second mode]
FIG. 9 is a sequence diagram showing a processing flow in the information processing device 1 and the terminal device 2 when the operation mode of the information processing device 1 according to the embodiment is the second mode.

When the search keyword is input to the input field such as the search box BX1 by the user U (step S30), the terminal device 2 transmits a search query including the input search keyword to the information processing device 1 (step S31). .. The information processing device 1 receives a search query transmitted from the terminal device 2 (step S32), and estimates the query intention which is the intention of the received search query (step S33). In step S33, the information processing apparatus 1 estimates, for example, information indicating the relevance of the search query to each of the plurality of intention candidates as the query intention.

The information processing device 1 generates the first (highest) ranking information among the plurality of ranking information according to the query intention as the first content (step S34). For example, when the case corresponding to the query intention is the case K1 described above, the information processing apparatus 1 generates ranking information with "1 category synthesis" as the first content. Further, when the case corresponding to the query intention is the case K6 described above, the information processing apparatus 1 generates ranking information with "1 brand synthesis" as the first content.

Next, the information processing device 1 transmits the provided information including the first content and the first parameter generated in step S34 to the terminal device 2 (step S35). The first parameter is a parameter for specifying the second ranking information which is the second content. The second ranking information is the second-most ranking information from the top among the plurality of ranking information whose type and order are determined by the query intention estimated in step S33, and the first ranking information and the ranking cut. Is different ranking information. The provided information transmitted to the terminal device 2 in step S35 includes, for example, a search result corresponding to a search query.

The first parameter is, for example, a parameter element indicating the category specified in the search query received in step S32, the parameter element indicating the cut end of the second ranking information, and the display format of the second ranking information in a list format. Includes parameter elements indicating that there is. For example, in the case of the cut "1 category comprehensive", the first parameter indicates that the parameter element indicating the category specified by the search query, the parameter element indicating the cut "1 category comprehensive", and the display format are in list format. Includes the indicated parameter elements and the like. In the first parameter, a plurality of parameter elements are separated from each other by, for example, comma-separated values or space-separated values. The first parameter is not limited to the above-mentioned example. That is, the first parameter is not limited to the above-mentioned example as long as the second ranking information can be specified.

The terminal device 2 receives the provided information transmitted from the information processing device 1 and displays the first content based on the received provided information (step S36). The first content is the first ranking information RK1 in the example shown in FIG. 8A, and is the second tab content C2 in the example shown in FIG. In addition, the terminal device 2 can also display the search result corresponding to the search query instead of the first content in the search history included in the provided information according to the operation of the user U. The search result corresponding to the search query is the first tab content described above.

While the first ranking information RK1 shown in FIG. 8A is displayed on the terminal device 2, the user U operates the terminal device 2 (for example, a scroll operation) to operate the first ranking information RK1. You can check the information of the ranking elements of the 4th place and below in. By operating the terminal device 2 (for example, scrolling operation), the user U changes the area displayed on the terminal device 2 in the first ranking information RK1, for example, the first ranking. Information Information on the ranking element of the final ranking (20th place in this case) in RK1 can be confirmed.

When the display state of the first ranking information RK1 which is the first content satisfies the predetermined condition (step S37), the terminal device 2 includes the first parameter transmitted from the information processing device 1 in step S35. The query is transmitted to the information processing device 1 (step S38). The predetermined condition is, for example, that the area displayed on the terminal device 2 in the first ranking information RK1 is a specific area. For example, when the area shown in FIG. 8B of the first ranking information RK1 becomes the display area, the terminal device 2 satisfies the predetermined condition that the display state of the first ranking information RK1 is displayed. Is determined. The predetermined condition may be the condition of the elapsed time since the first ranking information RK1 is displayed on the terminal device 2, and the user U may perform a specific operation on the terminal device 2. It may be. Further, predetermined conditions may be set for each user U.

Upon receiving the query including the first parameter, the information processing device 1 generates the second ranking information specified by the first parameter as the second content (step S39), and the generated second content and the second parameter Is transmitted to the terminal device 2 (step S40). The second parameter is a parameter for specifying the third ranking information (an example of the third ranking information) which is the third content. The third ranking information is the third ranking information from the top among the plurality of ranking information whose type and order are determined by the query intention estimated in step S33, and the first ranking information and the second ranking information. It is ranking information in which each of the ranking information and the cut of the ranking are different. The second parameter is, for example, a parameter element indicating a category specified by the search query received in step S32, a parameter element indicating a cut edge of the third ranking information, and a third ranking, as in the format of the first parameter. It includes a parameter element indicating that the information display format is a list format, but is not limited to such an example as in the first parameter.

The terminal device 2 receives the second content and the second parameter transmitted from the information processing device 1, and displays the received second content (step S41). For example, the terminal device 2 displays the second ranking information RK2 as the second content, as shown in FIG. 8C. When the display state of the second ranking information RK2, which is the second content, satisfies the predetermined condition (step S42), the terminal device 2 sets the second parameter transmitted to the terminal device 2 by the information processing device 1. The including query is transmitted to the information processing apparatus 1 (step S43). The fact that the display state of the second ranking information RK2 satisfies the predetermined condition means that, for example, the area of the second ranking information RK2 displayed on the terminal device 2 becomes a specific area. Other conditions may be used as in the case of the first ranking information RK1.

When the information processing device 1 receives the query including the second parameter, the information processing device 1 generates the third ranking information specified by the second parameter as the third content (step S44), and the generated third content is sent to the terminal device 2. Transmit (step S45). The terminal device 2 receives the third content transmitted from the information processing device 1 and displays the received third content (step S46).

When the number of ranking information whose type and order are determined according to the query intention estimated in step S33 is four or more, the information processing apparatus 1 terminals the third parameter together with the third content in step S44. It is transmitted to the device 2 and the same processing as in the case of the second parameter is performed. The third parameter is a parameter for specifying the fourth ranking information, which is the fourth content. The fourth ranking information is the fourth ranking information from the top among the plurality of ranking information whose type and order are determined by the query intention estimated in step S33.

As described above, in the information processing apparatus 1 according to the embodiment, the first ranking information RK1 (an example of the first ranking information) in which the search target according to the query intention is ranked in the first cut, and the first cut. Provided is a parameter for specifying the second ranking information RK2 (second ranking information) in which the ranking element (search target) is ranked in the second cut different from the above. As a result, the information processing device 1 can appropriately provide a plurality of ranking information corresponding to the same search query.

In the above-mentioned example, the content whose type and order are determined based on the query intention is ranking information, but the content is not limited to such an example and may be content other than ranking information.

[1.2.5. Examples of content that includes search results and ranking information]
Next, an example of the search result (first tab content) and ranking information (second tab content) included in the content C provided from the information processing device 1 to the terminal device 2 will be described with reference to FIG. FIG. 10 is a diagram showing an example of search results and ranking information provided by the information processing apparatus 1 according to the embodiment.

In FIG. 10, the first tab content C1 and the second tab content C2 included in the content C generated by the information processing device 1 when the search query “sneak” is transmitted from the terminal device 2 to the information processing device 1 are shown. ing. The user U can display the first tab content C1 in the display area AR by selecting the first tab TB1 (see FIG. 2), and by selecting the second tab TB2 (see FIG. 2). , The second tab content C2 can be displayed in the display area AR. Switching between the first tab content C1 and the second tab content C2 may be performed by either the information processing device 1 or the terminal device 2.

In the information processing device 1, the number of lower layers included in the category of the search query "sneak" acquired from the terminal device 2 is less than or equal to the specified number, and the number of brands to be traded in the "sneak" category is less than or equal to the specified number. Therefore, it is determined that each of the category intention and the brand intention is N-strong. Further, since the information processing device 1 is the search query "sneaker", it is determined that each of the category designation and the brand designation is not specified. In this case, the information processing apparatus 1 determines that the case K5 is applicable if the case classification determination information is in the state shown in FIG.

In this case, if the ranking information determination information is in the state shown in FIG. 5, the information processing apparatus 1 has a plurality of ranking information whose cut type is "multi-category" and "multi-brand (1 category)" whose cut type is "multi-category". ) ”And the ranking information whose cut type is“ query synthesis ”are generated as the second tab content C2. The plurality of ranking information whose cut type is "multi-category" includes ranking information of women's sneakers, ranking information of men's sneakers, ranking information of women's slip-ons, ranking information of children's sneakers, and the like. Each of the plurality of ranking information whose cut type is "multi-brand (1 category)" is ranking information in which a plurality of transaction targets classified into one category (for example, ladies' sneaker) in sneak are ranked by brand. be. The type of cut is "query synthesis", which is ranking information in which transaction targets searched by "sneaker" are ranked as ranking elements.

In the second tab content C2 shown in FIG. 10, ranking information of ladies'sneakers, ranking information of men's sneakers, and the like are arranged in order. In each ranking information shown in FIG. 10, the top 6 transaction targets are shown, and when the user U wants to know the ranking of the 7th or lower transaction targets, the character string "2nd tab content C2 is included. By selecting "more", the second tab content C2 including the ranking information including the ranking of the transaction target of the 7th place or lower is transmitted from the information processing device 1 to the terminal device 2, and the terminal device 2 lowers the 7th place. The second tab content C2 including the ranking information including the ranking of the transaction target is displayed.

FIG. 11 is a diagram showing another example of ranking information provided by the information processing apparatus 1 according to the embodiment. In the example shown in FIG. 11, when the search keyword included in the search query acquired from the terminal device 2 is "sneak ladies", the second tab included in the content C transmitted from the information processing device 1 to the terminal device 2. It is a figure which shows an example of content C2. When the search keyword included in the search query is "Sneaker Ladies", the information processing device 1 determines that there is a category designation or the category intention is a little over 1, and there is no brand designation and the brand intention is unintentional. Is determined to be. The information processing apparatus 1 determines that the case K1 is applicable if the case classification determination information is in the state shown in FIG.

In this case, if the ranking information determination information is in the state shown in FIG. 5, the information processing apparatus 1 has ranking information in which the cut type is "1 category comprehensive" and ranking in which the cut type is "query comprehensive". Generate the second tab content C2 including the information. The ranking information in which the type of cut is "1 category comprehensive" is the ranking information of ladies' sneakers. The ranking information whose cut type is "query synthesis" is ranking information in which transaction targets searched by the search keyword "sneaker ladies" are ranked as ranking elements.

The display format of the ranking information whose cut type is "1 category comprehensive" is a list format, and in the example shown in FIG. 11, the transaction targets belonging to the ladies' sneakers are ranked and arranged up to the 20th place as ranking elements. There is. In the list format, more information about the ranking target is added than in the grid format, the amount of information is large, and the number of ranking elements included is also large.

For example, the list format contains more information such as brand name, product name, color, material, and other information (for example, user evaluation value, user evaluation number, etc.) than the grid format. .. Therefore, the user U can more clearly grasp what the ranking element looks like from the information of the ranking element included in the ranking information. Also, since the list format contains more ranking elements than the grid format, it is not necessary to select "more" to acquire ranking information starting from the next ranking, so it can be used. The convenience of the person U can be enhanced. The grid format may also include a brand name or a product name.

In the example shown in FIG. 5, the list format is set for a highly specific query intent, such as when an intent candidate is specified or the intent candidate is a little over 1, otherwise the grid. The format is set. Therefore, the user U can confirm the ranking information in the list format by making the search keyword concrete content, or can confirm the ranking information in the grid format by making the search keyword abstract content. can do. In the example shown in FIG. 5, the second and subsequent ranking information among the plurality of ranking information is in the grid format, but some ranking information can be determined in the list format based on the query intention. In addition, the display format of the ranking information whose cut type is "query synthesis" is a grid format, and in the example shown in FIG. 11, the transaction target searched by the search keyword "sneaker ladies" is up to the 6th place as a ranking element. Although they are ranked and arranged, the number of ranking elements is not limited to six.

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

For example, a use case is assumed in which there are many options (transaction targets) corresponding to the search keyword entered by the user U, the prerequisite knowledge is small, and the user is wondering what to buy. In this case, for example, the information processing apparatus 1 provides a ranking for each category, specifications, and the like. As a result, even with a search query with a broad intention, the user U can easily grasp the outline of the transaction target, deepen the intention, and naturally narrow down the options.

Further, the information processing device 1 can easily embody the image of the user U purchasing the transaction target by providing the content in which the transaction target is arranged for each cut. In addition, the information processing device 1 can make it easier for the user U to narrow down the options based on trends, popularity, etc. by providing the contents organized by brand or the like.

Further, the information processing apparatus 1 can provide the user U with a plurality of ranking information having different arrangement orders determined based on the query intention. As a result, the information processing device 1 can more appropriately provide a plurality of ranking information corresponding to the search query. For example, the information processing apparatus 1 provides a plurality of ranking information more appropriately by providing a plurality of ranking information in the order of arrangement so that the ranking information having a higher relevance to the query intention is prioritized and ranked higher. Can be done.

Further, the information processing device 1 can provide ranking information in a display format determined based on the query intention. As a result, the information processing apparatus 1 can more appropriately provide ranking information corresponding to the search query. For example, the information processing apparatus 1 provides ranking information in a list format when the specificity of the query intention is high, and provides ranking information in a grid format otherwise. As a result, the information processing apparatus 1 can more appropriately provide ranking information corresponding to the search query.

Further, when the operation mode of the information processing device 1 is the first mode, after the first ranking information is transmitted to the terminal device 2 based on the query intention, the types and order of the second and subsequent ranking information are changed. Determined by the terminal device 2. Therefore, the processing load of the information processing device 1 can be reduced.

Further, when the operation mode is the second mode, the information processing apparatus 1 includes the first ranking information RK1 (an example of the first ranking information) in which the search target according to the query intention is ranked in the first cut. Provided is a parameter for specifying the second ranking information RK1 (second ranking information) in which the ranking element (search target) is ranked in the second cut different from the first cut. As a result, the information processing device 1 can appropriately provide a plurality of ranking information corresponding to the same search query.

Hereinafter, the configuration of the information processing system including the information processing device 1, the terminal device 2, and the external device 3 that perform such processing will be described in detail.

[2. Configuration of information processing system 100]
As shown in FIG. 12, the information processing system 100 includes an information processing device 1, a terminal device 2, and an external device 3. The information processing device 1, the terminal device 2, and the external device 3 are connected to each other via a network N so as to be communicable by wire or wirelessly. The information processing system 100 shown in FIG. 12 may include a plurality of information processing devices 1, a plurality of terminal devices 2, and a plurality of external devices 3.

The terminal device 2 according to the embodiment is an information processing device used by a user U who accesses contents such as a web page displayed on a browser and contents for an application. For example, the terminal device 2 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 2 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 3 according to the embodiment is an information processing device that provides various types of information, and is realized by, for example, a server device or a cloud system. For example, the external device 3 provides user information as various information. As another example, the external device 3 includes Internet shopping, an electronic shopping street, a free market site, an auction site, a reservation site such as a travel or restaurant, a credit card contract site, and a financial product providing site. Provide information on the transaction target in.

The information processing device 1 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 1 is communicably connected to various other devices via the network N.

[3. Configuration of information processing device 1]
Hereinafter, an example of the functional configuration of the information processing apparatus 1 described above will be described. FIG. 12 is a diagram showing a configuration example of the information processing device 1 according to the embodiment. As shown in FIG. 12, the information processing device 1 includes a communication unit 10, a storage unit 11, and a processing unit 12.

[3.1. Communication unit 10]
The communication unit 10 is realized by, for example, a NIC (Network Interface Card) or the like. Then, the communication unit 10 is connected to the network N by wire or wirelessly, and transmits / receives information to / from various other devices. For example, the communication unit 10 transmits / receives information to / from each of the terminal device 2 and the external device 3 via the network N.

[3.2. Storage unit 11]
The storage unit 11 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 11 includes a user information storage unit 20, a transaction target information storage unit 21, a content storage unit 22, and a ranking information storage unit 23.

[3.2.1. User information storage unit 20]
The user information storage unit 20 stores various user information related to the user U. FIG. 13 is a diagram showing an example of a user information table stored in the user information storage unit 20 according to the embodiment. In the example shown in FIG. 13, the user information table stored in the user information storage unit 20 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 the user U. The "attribute information" is attribute information related to the attribute of the user U associated with the "user ID". For example, the attribute information includes the age, gender, telephone number, address, and the like of the user U. 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, can be obtained. May be included.

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

The "browsing history" is a history in which the content is browsed by the user U associated with the "user ID". For example, the "browsing history" may be a history in which the content is displayed on the terminal device 2 of the user U. For example, the browsing history includes information about the content viewed (displayed) by the user U, 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. 13, 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. 13, 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 types of information. It may be a file format including.

The user information storage unit 20 is not limited to the above, and may store various information depending on the purpose. The user information storage unit 20 may store information indicating the number of times the information is displayed for each transaction target, for example, the number of times the user U has browsed, for each user U.

[3.2.2. Transaction target information storage unit 21]
The transaction target information storage unit 21 stores various transaction target information related to the transaction target. FIG. 14 is a diagram showing an example of a transaction target information table stored in the transaction target information storage unit 21 according to the embodiment. In the example shown in FIG. 14, the transaction target information table stored in the transaction target information storage unit 21 is "transaction target ID", "transaction target", "transaction target information", "category", and "product specific information". Including items such as. In addition, in FIG. 14, 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 21 stores information indicating a cut to which each transaction target corresponds, in addition to the category. For example, the transaction target information storage unit 21 shows information indicating 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 worries that can be solved by the transaction target. Is associated with each transaction target and stored.

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. For example, when a category is defined in a hierarchical structure (for example, a tree-like hierarchical structure), the "category" is the information of the lowest layer category to which the transaction target corresponds, or the information of the lowest layer category to which the transaction target corresponds to the lowest layer. Contains information for each category up to the category. "Product specific information" is information about a product to which the transaction target identified by the "transaction target ID" corresponds.

For example, in FIG. 14, the transaction target of "M1" identified by the transaction target ID is "MA1". In the example shown in FIG. 14, 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. 14, the transaction target information of "M1" identified by the transaction target ID is "MD1". In the example shown in FIG. 14, the transaction target information is represented by an abstract code such as "MD1", but the transaction target information may be in a file format including various information related to the transaction target.

Further, in FIG. 14, the category of "M1" identified by the transaction target ID is "CT1". In the example shown in FIG. 14, 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. 14, the product identification information of "M1" identified by the transaction target ID is "PD1". In the example shown in FIG. 14, 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 21 is not limited to the above, and may store various information depending on the purpose. For example, the transaction target information storage unit 21 may describe information such as a score and an number of impressions corresponding to each transaction target.

[3.2.3. Content storage unit 22]
The content storage unit 22 stores information about the content. FIG. 15 is a diagram showing an example of a content table stored in the content storage unit 22 according to the embodiment. In the example shown in FIG. 15, the content table stored in the content storage unit 22 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. 15, the content of "C1" identified by the content ID is "CO1". In the example shown in FIG. 15, 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 22 is not limited to the above, and may store various information depending on the purpose.

[3.2.4. Information storage unit for ranking 23]
The ranking information storage unit 23 stores various types of information used for generating the ranking. For example, the ranking information storage unit 23 includes the case classification determination information shown in FIG. 4, the ranking information determination information shown in FIG. 5, the ranking standard information indicating the ranking standard (ranking standard) of the transaction target, and the transaction. Stores score calculation information used to calculate various target scores.

The ranking standard information is, for example, information indicating a ranking standard in which the highest score is given in order from the highest score. The score calculation information is, for example, information such as a score function used for calculating various scores to be traded.

The ranking information storage unit 23 is not limited to the above, and may store various information depending on the purpose.

[3.3. Processing unit 12]
The processing unit 12 is a controller, and for example, various programs (information processing) stored in a storage device inside the information processing device 1 by a processor such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit). An example of a program) is realized by executing the RAM as a work area. Further, the processing unit 12 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 processing unit 12 includes an acquisition unit 30, a reception unit 31, an estimation unit 32, a determination unit 33, a generation unit 34, and a provision unit 35, and the information described below. Realize or execute the function or action of processing. The internal configuration of the processing unit 12 is not limited to the configuration shown in FIG. 9, and may be any other configuration as long as it is a configuration for performing information processing described later.

[3.3.1. Acquisition unit 30]
The acquisition unit 30 acquires various types of information. The acquisition unit 30 acquires various types of information from the storage unit 11. The acquisition unit 30 acquires various types of information from the user information storage unit 20, the transaction target information storage unit 21, the content storage unit 22, the ranking information storage unit 23, and the like.

The acquisition unit 30 receives various information from an external information processing device via the communication unit 10. The acquisition unit 30 receives various information from the terminal device 2 or the external device 3. For example, the acquisition unit 30 acquires user information regarding the user U from the external device 3. In FIG. 1, the acquisition unit 30 uses external device 3 as user information such as attribute information of user U, purchase history in Internet shopping, electronic shopping streets, auction sites, free market sites, and the like, and display history of contents. Get from. Then, the acquisition unit 30 stores the user information in the user information storage unit 20. For example, the acquisition unit 30 acquires user information from the external device 3 at predetermined intervals and updates the user information stored in the user information storage unit 20.

In addition, the acquisition unit 30 acquires information regarding the transaction target from the external device 3. For example, the acquisition unit 30 acquires information on a transaction target traded on an auction site or a flea market site from an external device 3. Then, the acquisition unit 30 stores the information regarding the transaction target in the transaction target information storage unit 21. For example, the acquisition unit 30 acquires information on the transaction target from the external device 3 at predetermined intervals, and updates the information on the transaction target stored in the transaction target information storage unit 21.

The acquisition unit 30 acquires transaction target information regarding the transaction target. The acquisition unit 30 acquires transaction target information including the sales history of the transaction target. The acquisition unit 30 acquires transaction target information including the number of orders to be traded. The acquisition unit 30 acquires the transaction target information including the period elapsed from the date and time when the transaction target was sold. The acquisition unit 30 acquires transaction target information including the number of sales of the transaction target. The acquisition unit 30 acquires transaction target information including the number of times the information indicating the transaction target is viewed.

The acquisition unit 30 acquires transaction target information including the number of reviews for the transaction target. The acquisition unit 30 acquires the transaction target information including the evaluation of the transaction target. The acquisition unit 30 acquires transaction target information including external factors related to the transaction target. The acquisition unit 30 acquires the transaction target information including the post regarding the transaction target in the SNS. The acquisition unit 30 acquires transaction target information including the number of searches related to the transaction target. The acquisition unit 30 acquires transaction target information including internal factors related to the transaction target. The acquisition unit 30 acquires transaction target information including an incentive for the transaction target. The acquisition unit 30 acquires transaction target information including a coupon for the transaction target. The acquisition unit 30 acquires transaction target information including a price reduction regarding the transaction target.

The acquisition unit 30 acquires element information related to a plurality of elements included in the transaction target information. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements included in the transaction target information. The acquisition unit 30 acquires a score corresponding to each of the plurality of elements.

The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including the number of orders to be traded. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including the number of times of viewing the information indicating the transaction target. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including the number of reviews for the transaction target. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including the number of reservations to be traded.

The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including external factors related to the transaction target. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including a post regarding a transaction target in SNS. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including the number of searches related to the transaction target. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including internal factors related to the transaction target. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including an incentive for a transaction target. The acquisition unit 30 acquires element information indicating the tendency of a plurality of elements including a coupon for a transaction target. The acquisition unit 30 acquires element information indicating a tendency of a plurality of elements including a price reduction regarding a transaction target.

Further, the acquisition unit 30 acquires information indicating the number of times of display (the number of times of viewing by the user U) for the transaction target from the terminal device 2. For example, the acquisition unit 30 acquires the number of times the content is displayed and the number of times each transaction target is displayed from the terminal device 2. Further, the acquisition unit 30 is acquired by the control information for acquiring the number of impressions provided in advance together with the content. Then, the acquisition unit 30 stores the number of times of display in the transaction target information storage unit 21.

[3.3.2. Reception desk 31]
The reception unit 31 receives various requests. The reception unit 31 receives various requests from an external information processing device. The reception unit 31 receives information indicating various requests from an external information processing device via the communication unit 10. For example, the reception unit 31 receives a request from the terminal device 2 or the external device 3. The reception unit 31 receives a search query including the search keyword input by the user U from the terminal device 2. For example, the reception unit 31 receives a search query including the search keyword input by the user U from the terminal device 2 as a request for providing content related to the search query. In addition, the reception unit 31 receives a query including parameters from the terminal device 2 as a request for providing content.

[3.3.3. Estimator 32]
The estimation unit 32 executes an estimation process for estimating various information. For example, the estimation unit 32 executes the estimation process based on various information acquired by the acquisition unit 30. The estimation unit 32 executes the estimation process based on various information stored in the storage unit 11. The estimation unit 32 executes the estimation process based on the search query received from the terminal device 2, various information received from the external information processing device, and the like.

For example, the estimation unit 32 estimates the query intention, which is the intention of the search query received by the reception unit 31. The estimation unit 32 estimates, for example, the relevance of the search query to each of the plurality of intention candidates as the query intention. Candidates for intention include, for example, the category of the transaction target, the brand of the transaction target, the usage scene of the transaction target, the specifications of the transaction target, the price range of the transaction target, or the user group of the transaction target.

The estimation unit 32 calculates a score indicating the relevance of the search query to each of the plurality of intention candidates based on the search keyword included in the search query, and treats the score or the information corresponding to the score as the query intention. For example, the estimation unit 32 may use an estimation model for each intention candidate to calculate a score indicating the relevance of the search query to each intention candidate, and estimate these scores or information corresponding to the score as the query intention. can. The estimation model is a trained model generated by machine learning, inputs a search keyword included in the search query, and outputs a score indicating the relevance of the search query to the intention candidate.

The estimation model for each candidate intention is generated by machine learning by a neural network such as a convolutional neural network or a recurrent neural network, but is not limited to such an example. For example, the estimation model for each intention candidate may be generated by using machine learning by a learning algorithm such as linear regression or logistic regression instead of the neural network.

Further, the estimation unit 32 uses, for example, a table for each intention candidate in which each search keyword and a score indicating the relevance are related to each other, and determines the relevance of the search query to each of the plurality of intention candidates as the intention of the search query. Can also be estimated as.

Further, the estimation unit 32 estimates the query intention based on the user information of the search user who is the user U who has input the search keyword included in the search query in addition to the search keyword included in the search query. You can also. For example, the estimation unit 32 calculates a score indicating the relevance of the search query to each of the plurality of intention candidates based on the search keyword included in the search query and the user information of the search user, and calculates these scores. Treat as the intent of the search query.

In this case as well, the estimation unit 32 calculates a score indicating the relevance of the search query to each intention candidate by using, for example, an estimation model for each intention candidate, and uses these scores or information corresponding to the score as the query intention. Can be estimated. The estimation model is a trained model generated by machine learning, and inputs the search keyword included in the search query and the user information of the search user, and outputs a score indicating the relevance of the search query to the intended candidate. ..

Further, the estimation unit 32 determines the query intention based on, for example, the search keyword included in the search query received by the reception unit 31 before the previous time and the search keyword included in the search query received this time by the reception unit 31. It can also be estimated.

In this case as well, the estimation unit 32 calculates a score indicating the relevance of the search query to each intention candidate by using, for example, an estimation model for each intention candidate, and uses these scores or information corresponding to the score as the query intention. Can be estimated. The estimation model is a trained model generated by machine learning, and the search keywords included in the previous search query and the current search query are input, and a score indicating the relevance of the search query to the intended candidate is output. do. Instead of the estimation model for each intention candidate, one estimation model that outputs a score indicating the relevance of the search query to a plurality of intention candidates may be used.

The estimation unit 32 can also estimate the query intention by dividing the score indicating the relevance of the search query to each of the plurality of intention candidates into a plurality of ranges. For example, the estimation unit 32 divides the score indicating the relevance of the search query for each of the categories and brands into M stages. M is an integer greater than or equal to 2.

In addition, the estimation unit 32 can also determine the specificity of the query intention based on the score indicating the relevance of the search query to each of the plurality of intention candidates. For example, the estimation unit 32 determines that the specificity of the query intention is relatively high when the intention candidate is intentional, and the specificity of the query intention is relatively low when the intention candidate is unintentional. .. Further, the estimation unit 32 can estimate that the specificity of the query intention is relatively high, for example, when the intention candidate is specified.

In addition, the estimation unit 32 can also determine the specificity of the query intention numerically instead of determining the specificity of the query intention by high or low. For example, the estimation unit 32 can set the highest score among the scores indicating the relevance of the search query to each of the plurality of intention candidates as the specificity of the query intention, and the search query for each of the plurality of intention candidates. The average value of the scores indicating the degree of relevance of is also used as the specificity of the query intent.

[3.3.4.4. Decision unit 33]
The determination unit 33 executes a determination process for determining various information. For example, the determination unit 33 determines the type and order of the plurality of ranking information provided to the user U based on the query intention estimated by the estimation unit 32. The type of ranking information is defined by, for example, the cut of the ranking and the display format of the ranking information. The type of ranking information also defines the number of ranking candidates included in the ranking information.

For example, the determination unit 33 can determine the order in which the ranking information having a higher relevance to the query intention estimated by the estimation unit 32 has higher priority as the order of the plurality of ranking information. For example, when the estimation unit 32 calculates the relevance of the search query to each of the plurality of intention candidates, the determination unit 33 determines the order of the plurality of ranking information based on these scores.

Further, when the estimation unit 32 divides the score indicating the relevance of the search query to each of the plurality of intention candidates into a plurality of ranges, the determination unit 33 may be plural based on the result of the division by the estimation unit 32. Determine the order of the ranking information.

Further, when the estimation unit 32 divides the score indicating the relevance of the search query to each of the plurality of intention candidates into a plurality of ranges, the determination unit 33 determines the result of the classification by the estimation unit 32 and whether or not the category is specified. It is also possible to determine the order of a plurality of ranking information based on whether or not the brand is specified.

In this case, the determination unit 33 determines whether or not the category is specified and whether or not the brand is specified based on the search keyword included in the search query. Then, the determination unit 33 uses the case classification determination information (for example, see FIG. 4) stored in the ranking information storage unit 23 and acquired by the acquisition unit 30, the ranking information determination information (for example, see FIG. 5), and the like. , The order of the plurality of ranking information can be determined based on the result of the classification by the estimation unit 32.

The case classification determination information and the ranking information determination information are based on the browsing history of the user U for the ranking information and the browsing history of the user U for the ranking element included in the ranking information (for example, click history). , May be changed by the processing unit 12. Further, the determination unit 33 can also determine the type and arrangement order of the ranking information by using the determination model that inputs the query intention estimated by the estimation unit 32 and outputs the type and arrangement order of the ranking information. The decision model is generated by machine learning by a neural network such as a convolutional neural network or a recurrent neural network like the estimation model, but is not limited to such an example.

Further, when it is determined that each of the plurality of intention candidates is unintentional, the determination unit 33 gives priority to ranking information regarding the intention candidates that are likely to be confirmed by the user U among the plurality of intention candidates. Determine the order of higher ranking. For example, when the category intention and the brand intention are unintentional, the determination unit 33 determines the order in which the ranking information for each category is prioritized over the ranking information for each brand. The ranking information regarding the intention candidate that is likely to be confirmed by the user U is, for example, ranking information in which the ranking element is likely to be browsed (for example, clicked) (for example, browsing frequency). Not limited to.

The determination unit 33 includes a plurality of first display formats in which a plurality of ranking elements constituting ranking information are arranged in a row and a second display format in which a plurality of ranking elements are arranged in a matrix based on the query intention. Determine the display format of ranking information from the display formats.

For example, the determination unit 33 determines the display format of the ranking information as the first display format when the specificity of the query intention is relatively high, and the display format of the ranking information when the specificity of the query intention is relatively low. Is determined as the second display format.

When the operation mode is the first mode, the determination unit 33 is the first (highest) of the plurality of ranking information of the type and the order according to the query intention based on the query intention estimated by the estimation unit 32. The type of ranking information is determined, and the type of ranking information after the second is not determined. As a result, when the operation mode is the first mode, the determination unit 33 does not perform the process of determining the second and subsequent types of ranking information, so that the processing load can be reduced.

Further, when the operation mode is the second mode, the determination unit 33 is the first (most) of the plurality of ranking information of the type and the order according to the query intention based on the query intention estimated by the estimation unit 32. The type of ranking information (upper) and the type of second ranking information are determined. Then, when a query including the first parameter, which is a parameter for specifying the second ranking information, is transmitted from the terminal device 2 and accepted by the reception unit 31, the determination unit 33 determines the type and order according to the query intention. The type of the third ranking information (an example of the third ranking information) among the plurality of ranking information of the above is determined. Further, when a query including the second parameter, which is a parameter for specifying the third ranking information, is transmitted from the terminal device 2 and accepted by the reception unit 31, the determination unit 33 classifies and sorts according to the query intention. The type of the fourth ranking information among the plurality of ranking information of is determined. Similarly, when a query including a parameter that is a parameter for specifying the fourth and subsequent ranking information is transmitted from the terminal device 2 and accepted by the reception unit 31, the determination unit 33 determines the type and order according to the query intention. The type of the fifth and subsequent ranking information among the plurality of ranking information of is determined. When the operation mode is the second mode, the determination unit 33 can collectively determine a plurality of ranking information of the type and the order according to the query intention.

Further, when the operation mode is the third mode, the determination unit 33 collectively collects a plurality of ranking information of the type and the order according to the query intention based on the query intention estimated by the estimation unit 32. decide. Although the operation mode is preset by the administrator of the information processing device 1, the determination unit 33 can determine the operation mode according to the function implemented in the terminal device 2. For example, the determination unit 33 sets the operation mode to the first mode for the terminal device 2 operating in the first mode, and sets the operation mode to the second mode for the terminal device 2 operating in the second mode. For the terminal device 2 capable of executing both the first mode and the second mode, the operation mode is set to the first mode. Further, the determination unit 33 sets the operation mode as the third mode for the terminal device 2 that cannot execute either the first mode or the second mode.

[3.3.5. Generation unit 34]
The generation unit 34 executes a generation process for generating various information. For example, the generation unit 34 executes the generation process based on various information acquired by the acquisition unit 30, various information stored in the storage unit 11, various information received from an external information processing device, and the like.

The generation unit 34 generates the above-mentioned content C including, for example, the first tab TB1, the second tab TB2, the search box BX1, the first tab content C1, and the second tab content C2.

For example, the generation unit 34 generates the first tab content C1 in which the search results corresponding to the search query including the search keyword input by the user U are arranged. The generation unit 34 generates the first tab content C1 in which the search results obtained by the search process using the search keyword input by the user U are arranged.

The search process is performed, for example, by extracting the transaction target of the transaction target information including the search keyword. For example, when the search keyword included in the search query is "television", the generation unit 34 extracts the transaction target information corresponding to the search query "television" from the transaction target information storage unit 21 in the search process. It should be noted that the information corresponding to the search query is extracted by using the prior art, 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 1, the acquisition unit 30 transmits a search query to the search device and receives the search result of the search query from the search device. The generation unit 34 generates the search result of the search query by using the transaction target information extracted as the information corresponding to the search query. For example, the generation unit 34 generates the transaction target list information of the extracted transaction target information as the search result of the search query.

In addition, the generation unit 34 executes the generation process based on the information determined by the determination unit 33. For example, the generation unit 34 executes the generation process based on the type and order of the ranking information determined by the determination unit 33.

For example, when the operation mode is the first mode, the generation unit 34 generates the first ranking information based on the type of the first ranking information determined by the determination unit 33 and the transaction target information regarding the transaction target. ..

For example, the generation unit 34 determines or specifies a transaction target corresponding to the cut indicated by the type of the first ranking information determined by the determination unit 33, and inputs the transaction target information of the determined or specified transaction target as input. The score of the transaction target is calculated by using the function (score function) that outputs the score of the transaction target. For example, the generation unit 34 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 34 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 34 ranks the transaction targets using the calculated score, and generates ranking information in which a plurality of transaction targets are arranged in a display format indicated by the type of the first ranking information determined by the determination unit 33. Generate. For example, when the display format is the list format (an example of the first display format), the generation unit 34 has a plurality of transaction information (ranking) as compared with the case where the display format is the grid format (an example of the second display format). Set a large amount of information for each of the elements). Then, the generation unit 34 generates the second tab content C2 including the first ranking information and the information indicating the query intention estimated by the estimation unit 32.

Further, when the operation mode is the second mode, the generation unit 34 has a transaction target related to the type of the first ranking information determined by the determination unit 33 and the transaction target, as in the case where the operation mode is the first mode. Based on the information, the first ranking information is generated.

Then, the generation unit 34 generates the second tab content C2 including the first ranking information and the first parameter determined by the determination unit 33. In this way, the generation unit 34 has the first ranking information (an example of the first ranking information) in which the transaction target, which is the search target according to the search query, is ranked in the first cut, and the first cut. The second tab content C2 including the first parameter that specifies the second ranking information (an example of the second ranking information) in which the search target is ranked by a different second cut is generated. The second tab content C2 includes, for example, information indicating a condition in which the display state of the first ranking information RK1 is predetermined as a condition that triggers the transmission of a query including the first parameter.

The first parameter is, for example, a parameter element indicating a category specified by a search query, a parameter element indicating a cut edge of the second ranking information, and a parameter element indicating that the display format of the second ranking information is a list format. However, it is not limited to the above-mentioned example as long as the second ranking information can be specified.

Further, when the query including the first parameter is received by the reception unit 31, the generation unit 34 determines or specifies the transaction target corresponding to the cut specified by the first parameter, and the transaction related to the determined or specified transaction target. Based on the target information, the second ranking information specified by the first parameter is generated. Then, the generation unit 34 generates the provided information including the second ranking information and the second parameter determined by the determination unit 33 as the information included in the second tab content C2. The second parameter is a parameter that specifies the third ranking information (an example of the third ranking information) in the same format as the first parameter.

Further, when the query including the second parameter is received by the reception unit 31, the generation unit 34 generates the third ranking information specified by the second parameter based on the transaction target information regarding the transaction target. Then, the generation unit 34 generates the provided information including the third ranking information and the third parameter determined by the determination unit 33 as the information included in the second tab content C2. When the reception unit 31 receives a query including the third parameter, the generation unit 34 generates the fourth and subsequent ranking information specified by the third parameter and the like based on the transaction target information regarding the transaction target. .. The third parameter and the like are parameters that specify the fourth and subsequent ranking information in the same format as the first parameter.

Further, when the operation mode is the third mode, the generation unit 34 has the type of ranking information determined by the determination unit 33 (hereinafter, may be referred to as the determination type), the order, and the transaction target information regarding the transaction target. Generate multiple ranking information based on. For example, the generation unit 34 performs a process of calculating a score for each transaction target which is a ranking element at the cut point indicated by the type of ranking information determined by the determination unit 33 for each determination type. Then, the generation unit 34 generates the second tab content C2 in which a plurality of ranking information is arranged in the arrangement order determined by the determination unit 33.

The generation unit 34 generates a screen (content C) to be provided to the terminal device 2 by appropriately using various techniques related to image generation, image processing, and the like. For example, the generation unit 34 generates a screen (content C) to be provided to the terminal device 2 by appropriately using various techniques such as Java (registered trademark). The generation unit 34 may generate a screen (content C) to be provided to the terminal device 2 based on the format of CSS, Javascript (registered trademark), or HTML. Further, for example, the generation unit 34 may generate screens (contents) in various formats such as JPEG (Joint Photographic Experts Group), GIF (Graphics Interchange Format), and PNG (Portable Network Graphics).

[3.3.6.6. Provision 35]
The providing unit 35 provides various types of information. The providing unit 35 transmits various information to an external information processing device via the communication unit 10. The providing unit 35 transmits various information to the terminal device 2 or the external device 3. The providing unit 35 transmits the content to the terminal device 2. The providing unit 35 transmits information regarding the transaction target to the terminal device 2.

The providing unit 35 provides the information generated by the generating unit 34. For example, the providing unit 35 provides the content C generated by the generating unit 34. The content C is provided, for example, by transmitting the content C to the terminal device 2. In addition, the providing unit 35 can independently provide the same content as the first tab content C1 and the same content as the second tab content C2 instead of the content C.

The content transmitted from the providing unit 35 to the terminal device 2 is displayed on the terminal device 2. For example, as shown in FIG. 2, the terminal device 2 can display the content C provided by the providing unit 35.

When the operation mode is the first mode, the providing unit 35 transmits the content C including the second tab content C2 including the first ranking information and the information indicating the query intention to the terminal device 2. After that, when the query including the first parameter is received by the reception unit 31, the providing unit 35 transmits the second ranking information specified by the first parameter and generated by the generation unit 34 to the terminal device 2. After that, when the receiving unit 31 receives a query including the parameters after the second parameter, the providing unit 35 specifies the third and subsequent ranking information specified by the parameters after the second parameter and generated by the generating unit 34. Is transmitted to the terminal device 2.

Further, when the search query is received by the reception unit 31 when the operation mode is the second mode, the providing unit 35 includes the content C including the second tab content C2 including the first ranking information and the first parameter. Is transmitted to the terminal device 2. After that, when the query including the first parameter is received by the receiving unit 31, the providing unit 35 provides the providing information including the second ranking information and the second parameter specified by the first parameter and generated by the generating unit 34. Is transmitted to the terminal device 2. After that, when the receiving unit 31 receives a query including the parameters after the second parameter, the providing unit 35 specifies the third and subsequent ranking information specified by the parameters after the second parameter and generated by the generating unit 34. The provided information including the third parameter and the parameters after the third parameter is transmitted to the terminal device 2. The first ranking information, the second ranking information, and the plurality of ranking information including the third and subsequent ranking information are information in which the ranking elements are ranked from different perspectives.

Further, when the operation mode is the third mode, the providing unit 35 transmits the content C including the second tab content C2 in which a plurality of ranking information is arranged in the order determined by the determining unit 33 to the terminal device 2. ..

[4. Terminal device 2]
As shown in FIG. 12, the terminal device 2 according to the embodiment includes a communication unit 40, a display unit 41, an operation unit 42, a storage unit 43, and a processing unit 44.

[4.1. Communication unit 40]
The communication unit 40 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 40 is connected to the network N by wire or wirelessly, and transmits / receives information to / from the information processing device 1 via the network N.

[4.2. Display 41]
The display unit 41 is, for example, an LCD (Liquid Crystal Display) or an organic EL (Electro Luminescence) display.

[4.3. Operation unit 42]
The operation unit 42 includes, for example, a keyboard including keys for inputting letters, numbers, and spaces, enter keys, arrow keys, and the like, a mouse, and a power button. When the display unit 41 is a display device of a touch panel display, the operation unit 42 may be a touch panel.

[4.4. Storage unit 43]
The storage unit 43 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.

Various types of information are stored in the storage unit 43. For example, the storage unit 43 stores the information shown in FIG. 3, the case classification determination information shown in FIG. 4, the ranking information determination information shown in FIG. 5, and the like. Further, the storage unit 43 stores, for example, information transmitted from the information processing device 1 and acquired by the processing unit 44 via the network N and the communication unit 40.

[4.5. Processing unit 44]
The processing unit 44 is a controller, and for example, various programs stored in a storage device inside the terminal device 2 by a CPU (Central Processing Unit) or an MPU (Micro Processing Unit) use the RAM as a work area. It is realized by being executed.

Further, the processing unit 44 may be realized by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The processing unit 44 includes an acquisition unit 46 (an example of a transmission unit, a first acquisition unit, and a second acquisition unit) and a display processing unit 47 (an example of a first display processing unit and a second display processing unit).

[4.5.1. Acquisition unit 46]
The acquisition unit 46 acquires information transmitted from the information processing device 1 and received by the communication unit 40 via the network N. The information transmitted from the information processing device 1 is, for example, the information constituting the first tab content C1 and the second tab content C2 described above.

For example, the acquisition unit 46 transmits operation information, which is information corresponding to an operation by the user U to the operation unit 42, to the information processing device 1 via the communication unit 40. For example, the acquisition unit 46 transmits a search query according to the operation by the user U to the information processing device 1 via the communication unit 10. The search query according to the operation by the user U includes, for example, a search keyword input by the user U in an input field such as the search box BX1 in FIG.

For example, the acquisition unit 46 acquires the information of the content C transmitted from the information processing apparatus 1 in response to the transmitted search query. When the operation mode of the information processing device is the first mode, the content C includes information indicating the query intention, and the acquisition unit 46 acquires the first ranking information and then sequentially acquires the second and subsequent ranking information. Obtained from the information processing device 1 as a part of the content C.

For example, when the display state of the first ranking information satisfies a predetermined condition, the acquisition unit 46 indicates information indicating the query intention acquired by the acquisition unit 46 from the information processing device 1 whose operation mode is the first mode. The first parameter is determined based on. For example, the acquisition unit 46 includes the query intention acquired by the acquisition unit 46, the information stored in the storage unit 43 shown in FIG. 3, the case classification determination information shown in FIG. 4, the ranking information determination information shown in FIG. 5, and the like. The first parameter is determined based on. The method for determining the first parameter is the same as the method for determining the first parameter in the information processing apparatus 1 whose operation mode is the second mode. For example, the acquisition unit 46 determines the first parameter based on information indicating the relevance of the search query to each of the plurality of intention candidates. The acquisition unit 46 transmits a query including the determined first parameter to the information processing device 1 via the communication unit 40.

Further, for example, when the display state of the second ranking information satisfies a predetermined condition, the acquisition unit 46 obtains the query intention acquired by the acquisition unit 46 from the information processing device 1 whose operation mode is the first mode. The second parameter is determined based on the information shown. The method for determining the second parameter is the same as the method for determining the second parameter in the information processing apparatus 1 whose operation mode is the second mode. For example, the acquisition unit 46 determines the second parameter based on information indicating the relevance of the search query to each of the plurality of intention candidates. The acquisition unit 46 transmits a query including the determined second parameter to the information processing device 1 via the communication unit 40.

Further, for example, when the display state satisfies the predetermined condition, the acquisition unit 46 acquires the third and subsequent ranking information from the information processing device 1 whose operation mode is the first mode. It functions as a decision unit that determines the parameters after the third parameter based on the query intention. The method of determining the parameters after the third parameter is the same as the method of determining the parameters after the third parameter in the information processing apparatus 1 whose operation mode is the second mode. The acquisition unit 46 transmits a query including the determined third and subsequent parameters to the information processing device 1 via the communication unit 40.

Further, for example, when the display state of the first ranking information satisfies a predetermined condition, the acquisition unit 46 obtains the first parameter acquired by the acquisition unit 46 from the information processing device 1 whose operation mode is the second mode. A query including the above is transmitted to the information processing device 1 via the communication unit 40. The acquisition unit 46 acquires the second ranking information and the second parameter transmitted from the information processing apparatus 1 in response to the transmission of the query including the first parameter.

Further, for example, when the display state of the second ranking information satisfies a predetermined condition, the acquisition unit 46 has a second parameter acquired by the acquisition unit 46 from the information processing device 1 whose operation mode is the second mode. A query including the above is transmitted to the information processing device 1 via the communication unit 40. The acquisition unit 46 acquires the third ranking information and the third parameter transmitted from the information processing apparatus 1 in response to the transmission of the query including the second parameter.

Further, for example, when the display state satisfies a predetermined condition, the acquisition unit 46 acquires the third and subsequent ranking information from the information processing device 1 whose operation mode is the second mode. A query including the third and subsequent parameters is transmitted to the information processing device 1 via the communication unit 40. The acquisition unit 46 acquires the fourth and subsequent ranking information and the fourth and subsequent parameters transmitted from the information processing apparatus 1 in response to the query including the third and subsequent parameters.

Further, when the operation mode of the information processing device 1 is the third mode, the acquisition unit 46 once performs the second tab content including a plurality of ranking information according to the query intention and the content C including the first tab content. To get to. The method of acquiring the content C by the acquisition unit 46 is not limited to the above-mentioned example.

[4.5.2. Display processing unit 47]
The display processing unit 47 causes the display unit 41 to display the information acquired by the acquisition unit 46. For example, the display processing unit 47 causes the display unit 41 to display the content C including the first tab content C1 and the second tab content C2 acquired by the acquisition unit 46. Further, the display processing unit 47 changes the area to be displayed on the display unit 41 among the first tab content C1 and the second tab content C2 based on the operation of the user U on the operation unit 42.

For example, when the first ranking information is acquired by the acquisition unit 46, the display processing unit 47 displays the first ranking information on the display unit 41, and when the acquisition unit 46 acquires the second ranking information. The second ranking information is displayed on the display unit 41. Further, when the third ranking information is acquired by the acquisition unit 46, the display processing unit 47 displays the third ranking information on the display unit 41, and the acquisition unit 46 acquires the fourth and subsequent ranking information. In this case, the fourth and subsequent ranking information is displayed on the display unit 41.

[5. Processing procedure]
Next, the procedure of information processing executed by the information processing apparatus 1 according to the embodiment will be described with reference to FIG. FIG. 16 is a flowchart showing an example of the flow of information processing executed by the information processing apparatus 1 according to the embodiment.

As shown in FIG. 16, the processing unit 12 of the information processing device 1 receives a search query from the terminal device 2 via the network N and the communication unit 10 (step S50). Then, the processing unit 12 estimates the query intention based on the search query received in step S50 (step S51). For example, in the process of step S51, the processing unit 12 estimates the relevance of the search query to each of the plurality of intention candidates as the query intention.

Next, the processing unit 12 determines whether or not the intention candidate has been designated (step S52). For example, in the process of step S52, the processing unit 12 determines whether or not a category is specified and whether or not a brand is specified.

Next, the processing unit 12 determines whether or not the operation mode is the first mode (step S53). When the processing unit 12 determines that the operation mode is the first mode (step S53: Yes), the processing unit 12 executes the first processing mode (step S54). The process of step S54 is the process of steps S60 to S66 shown in FIG. 17, which will be described in detail later.

When the processing unit 12 determines that the operation mode is not the first mode (step S53: No), the processing unit 12 determines whether or not the operation mode is the second mode (step S55). When the processing unit 12 determines that the operation mode is the second mode (step S55: Yes), the processing unit 12 executes the second processing mode (step S56). The process of step S56 is the process of steps S70 to S76 shown in FIG. 18, which will be described in detail later.

When the processing unit 12 determines that the operation mode is not the second mode (step S55: No), the processing unit 12 executes the third processing mode (step S57). The process of step S57 is the process of steps S80 to S82 shown in FIG. 19, which will be described in detail later.

The processing unit 12 ends the processing shown in FIG. 16 when the processing of step S54 is completed, when the processing of step S56 is completed, or when the processing of step S57 is completed.

FIG. 17 is a flowchart showing an example of the flow of the first mode processing executed by the information processing apparatus 1 according to the embodiment. As shown in FIG. 17, the processing unit 12 generates the first ranking information based on the query intention estimated in step S51 (step S60). Next, the processing unit 12 generates the content C including the first ranking information generated in step S60 and the information indicating the query intention estimated in step S51 (step S61), and the content C generated in step S61 is generated. Provide (step S62).

Next, the processing unit 12 receives the query including the parameter from the terminal device 2 (step S63), and generates the ranking information specified by the parameter included in the query received in step S63 (step S64). Then, the processing unit 12 provides the ranking information generated in step S64 (step S65).

Next, the processing unit 12 determines whether or not there is a next query including the next parameter (step S66). When the processing unit 12 determines that there is a next query (step S66: Yes), the process proceeds to step S63, and when it is determined that there is no next query (step S66: No), the processing unit 12 ends the process shown in FIG. do.

FIG. 18 is a flowchart showing an example of the flow of the second mode processing executed by the information processing apparatus 1 according to the embodiment. As shown in FIG. 18, the processing unit 12 generates the first ranking information based on the query intention estimated in step S51 (step S70). Next, the processing unit 12 generates the content C including the first ranking information generated in step S60 and the first parameter according to the query intention (step S71), and provides the content C generated in step S71. (Step S72).

Next, the processing unit 12 receives the query including the parameter from the terminal device 2 (step S73), and generates the ranking information specified by the parameter included in the query received in step S73 (step S74). Then, the processing unit 12 provides the next ranking information generated in step S74 and the next parameter according to the query intention (step S75).

Next, the processing unit 12 determines whether or not there is a next query including the next parameter (step S76). When the processing unit 12 determines that there is a next query (step S76: Yes), the process proceeds to step S73, and when it is determined that there is no next query (step S76: No), the processing unit 12 ends the process shown in FIG. do.

FIG. 19 is a flowchart showing an example of the flow of the third mode processing executed by the information processing apparatus 1 according to the embodiment. As shown in FIG. 19, the processing unit 12 determines the type and order of ranking information based on the query intention estimated in step S51 and the presence / absence of designation of the intention candidate determined in step S52 (step S80). ..

Next, the processing unit 12 generates the content C including the second tab content C2 in which the ranking information of the type determined in step S80 is arranged in the order determined in step S80 (step S81). Then, the processing unit 12 provides the content C generated in step S14 (step S82), and ends the processing shown in FIG.

FIG. 20 is a diagram showing an example of information processing executed by the terminal device 2 according to the embodiment. As shown in FIG. 20, the processing unit 44 of the terminal device 2 transmits a search query including the search keyword input to the user U to the information processing device 1 via the communication unit 40 (step S90). The processing unit 44 acquires the content C corresponding to the search query transmitted in step S90 from the information processing device 1 via the communication unit 40 (step S91), and displays the acquired content C on the display unit 41 (step S92). ).

Next, the processing unit 44 determines whether or not the content C acquired in step S91 has information indicating the query intention (step S93). When the processing unit 44 determines that there is information indicating the query intention (step S93: Yes), the processing unit 44 determines a parameter for specifying the next ranking information based on the information indicating the query intention, and a query including the determined parameter. Is transmitted to the information processing device 1 via the communication unit 40 (step S94).

Then, the processing unit 44 is transmitted from the information processing device 1 in response to the query transmitted in step S94, acquires ranking information via the communication unit 40, and displays the acquired ranking information on the display unit 41 (step S95). .. Next, the processing unit 44 determines whether or not there is the next ranking information based on the information indicating the query intention (step S96). When the processing unit 44 determines that there is the next ranking information (step S96: Yes), the processing unit 44 shifts the processing to step S94.

When the processing unit 44 determines in step S93 that there is no information indicating the query intention (step S93: No), the processing unit 44 determines whether or not a parameter for specifying the next ranking information has been acquired (step S97). When the processing unit 44 determines that the parameters have been acquired (step S97: Yes), the processing unit 44 transmits a query including such parameters to the information processing device 1 via the communication unit 40 (step S98).

Then, the processing unit 44 is transmitted from the information processing device 1 in response to the query transmitted in step S98, acquires ranking information via the communication unit 40, and displays the acquired ranking information on the display unit 41 (step S99). .. Next, the processing unit 44 determines whether or not the next ranking information is acquired together with the ranking information acquired in step S99 (step S100). When the processing unit 44 determines that the following parameters have been acquired (step S100: Yes), the processing unit 44 shifts the processing to step S98.

The processing unit 44 determines that there is no next ranking information (step S96: No), determines that the parameter has not been acquired (step S97: No), or determines that the next parameter has not been acquired. If this is the case (step S100: No), the process shown in FIG. 20 is terminated.

[6. Modification example]
The information processing device 1 described above may be implemented in various different forms other than the above-described embodiment. Therefore, another embodiment of the information processing apparatus 1 will be described below.

[6.1. User U]
In the above embodiment, the user U 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 U may be any user U, for example, a user U who is not registered as a member of a predetermined service.

[6.2. Transaction target]
In the above embodiment, the transaction target traded in the electronic shopping district 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 trading object may be a trading object 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. Further, the search target and the ranking target by the search query are not limited to the transaction target, and may be other than the transaction target.

[6.3. Providing information on transaction targets]
In the above embodiment, an example of information processing in which the information processing device 1 provides the content to the terminal device 2 has been described, but the present invention is not limited to the above example. For example, an external server may provide the content to the terminal device 2. In this case, the information processing device 1 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 device 1 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.

[6.4. others〕
The processing unit 12 of the information processing device 1 can also change the operation mode to, for example, the processing load of the processing unit 12. For example, the processing unit sets the operation mode to the third mode when the processing load is less than the first threshold value, and sets the operation mode to the second mode when the processing load is equal to or more than the first threshold value and less than the second threshold value. When the processing load is equal to or higher than the second threshold value, the operation mode may be set to the first mode.

Further, the processing unit 12 can also change the operation mode according to the target type which is the type of the transaction target specified by the search query. For example, the processing unit sets the operation mode to the third mode when the target type is the first type, sets the operation mode to the second mode when the target type is the second type, and sets the target type to the third type. In some cases, the operation mode may be set to the first mode.

Further, the processing unit 12 can change the operation mode according to the target type according to the attribute of the user U. For example, the processing unit sets the operation mode to the third mode when the attribute of the user U is the first type, and sets the operation mode to the second mode when the attribute of the user U is the second type. When the attribute of the person U is the third type, the operation mode can be set to the first mode.

[7. Hardware configuration]
The information processing device 1 or the terminal device 2 according to the above-described embodiment is realized by, for example, a computer 80 having a configuration as shown in FIG. Hereinafter, the information processing device 1 will be described as an example. FIG. 21 is a hardware configuration diagram showing an example of a computer 80 that realizes the function of the information processing apparatus 1 according to the embodiment. The computer 80 includes a CPU 81, a RAM 82, a ROM (Read Only Memory) 83, an HDD (Hard Disk Drive) 84, a communication interface (I / F) 85, an input / output interface (I / F) 86, and a media interface (I / F). ) 87.

The CPU 81 operates based on the program stored in the ROM 83 or the HDD 84, and controls each part. The ROM 83 stores a boot program executed by the CPU 81 when the computer 80 is started, a program that depends on the hardware of the computer 80, and the like.

The HDD 84 stores a program executed by the CPU 81, data used by such a program, and the like. The communication interface 85 receives data from another device via the network N (see FIG. 9) and sends it to the CPU 81, and transmits the data generated by the CPU 81 to the other device via the network N.

The CPU 81 controls an output device such as a display or a printer, and an input device such as a keyboard or a mouse via the input / output interface 86. The CPU 81 acquires data from the input device via the input / output interface 86. Further, the CPU 81 outputs the data generated via the input / output interface 86 to the output device.

The media interface 87 reads the program or data stored in the recording medium 88 and provides the program or data to the CPU 81 via the RAM 82. The CPU 81 loads the program from the recording medium 88 onto the RAM 82 via the media interface 87, and executes the loaded program. The recording medium 88 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or PD (Phase change rewritable Disk), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. And so on.

For example, when the computer 80 functions as the information processing apparatus 1 according to the embodiment, the CPU 81 of the computer 80 realizes the function of the processing unit 12 by executing the program loaded on the RAM 82. Further, when the computer 80 functions as the terminal device 2 according to the embodiment, the CPU 81 of the computer 80 realizes the function of the processing unit 44 by executing the program loaded on the RAM 82. Further, the data in the storage unit 11 is stored in the HDD 84. The CPU 81 of the computer 80 reads these programs from the recording medium 88 and executes them, but as another example, these programs may be acquired from another device via the network N.

[8. others〕
Further, among the processes described in the above-described embodiments and modifications, all or part of the processes described as being automatically performed may be manually performed, or may be 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, the processing procedure, specific name, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each figure is not limited to the illustrated information.

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 the device is functionally or physically dispersed / physically distributed 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. For example, a part of the determination of the type and the order of the plurality of ranking information can be performed by the terminal device 2, and in this case, the information processing device 1 and a part of the terminal device 2 function as the information processing device.

[9. effect〕
As described above, the information processing program according to the embodiment causes the computer to execute the transmission procedure, the first acquisition procedure, the first display processing procedure, the second acquisition procedure, and the second display processing procedure. The transmission procedure sends a search query according to the operation by the user. The first acquisition procedure acquires the content according to the intent of the search query provided in response to the search query and the information indicating the intent of the search query. In the first display processing procedure, the content acquired by the first acquisition procedure is displayed on the display unit 41. The second acquisition procedure is the next content following the content acquired by the first acquisition procedure, and acquires the content according to the intention of the search query. In the second display processing procedure, the display unit 41 displays the next content acquired by the second acquisition procedure. Thereby, the processing load of the information processing apparatus 1 can be reduced.

Further, in the second acquisition procedure, the next content is acquired according to the display state of the content on the display unit 41. As a result, the information processing program can further reduce the processing load of the information processing device 1.

Further, in the second acquisition procedure, a parameter for acquiring the next content is determined based on the intention of the search query, and the next content is acquired using the determined parameter. As a result, the information processing program can further reduce the processing load of the information processing device 1.

Further, the information indicating the intent of the search query includes information indicating the relevance of the search query to each of the plurality of intention candidates, and the second acquisition procedure is information indicating the relevance of the search query to each of the plurality of intention candidates. Determine the parameters based on. This allows the information processing program to more accurately estimate the intent of the search query.

In addition, the content according to the intent of the search query includes two or more transaction targets according to the intent of the search query among a plurality of transaction targets, and the plurality of intent candidates include the category of the transaction target and the brand of the transaction target. .. As a result, the information processing program can more accurately estimate the intention of the search query for the transaction target.

In addition, the information of two or more transaction targets includes information of two or more transaction targets traded in electronic commerce. As a result, the information processing program can more appropriately provide a plurality of ranking information in which the transaction targets traded in the electronic commerce are ranked.

Further, the content acquired by the first acquisition procedure is ranking information in which search targets are ranked according to the intention of the search query, and the next content acquired by the second acquisition procedure is acquired by the first acquisition procedure. It is ranking information that has a different ranking from the content to be displayed. As a result, the information processing program can more appropriately acquire a plurality of ranking information corresponding to the same search query.

Further, the information processing program according to the embodiment has a third acquisition procedure and a third acquisition procedure for acquiring the content that follows the next content acquired by the second acquisition procedure and is in accordance with the intention of the search query. The computer is made to execute the third display processing procedure of displaying the subsequent content acquired by the display unit 41 on the display unit 41. As a result, the information processing program can further reduce the processing load of the information processing device 1.

Further, in the third acquisition procedure, further content is acquired according to the display state of the next content on the display unit 41. As a result, the information processing program can further reduce the processing load of the information processing device 1.

The embodiments of the present application have been described in detail with reference to the drawings, but this is an example, and various modifications and improvements 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 forms described above.

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.

1 Information processing device 2 Terminal device 3 External device 10 Communication unit 11 Storage unit 12 Processing unit 20 User information storage unit 21 Transaction target information storage unit 22 Content storage unit 23 Ranking information storage unit 30 Acquisition unit 31 Reception unit 32 Estimating unit 33 Decision unit 34 Generation unit 35 Providing unit 40 Communication unit 41 Display unit 42 Operation unit 43 Storage unit 44 Processing unit 46 Acquisition unit (example of transmission unit, first acquisition unit, second acquisition unit)
47 Display processing unit (example of first display processing unit and second display processing unit)
100 Information processing system

Claims (11)

Sending procedure to send a search query according to the operation by the user, and
The first acquisition procedure for acquiring the content according to the intention of the search query provided in response to the search query and the information indicating the intention of the search query.
The first display processing procedure for displaying the content acquired by the first acquisition procedure on the display unit, and
The second acquisition procedure for acquiring the next content following the content acquired by the first acquisition procedure and according to the intention of the search query, and the second acquisition procedure.
An information processing program characterized by causing a computer to execute a second display processing procedure for displaying the next content acquired by the second acquisition procedure on the display unit. The second acquisition procedure is
The information processing program according to claim 1, wherein the next content is acquired according to the display state of the content on the display unit. The second acquisition procedure is
The information according to claim 1 or 2, wherein a parameter for acquiring the next content is determined based on the intention of the search query, and the next content is acquired using the determined parameter. Processing program. The information indicating the intent of the search query is
Contains information indicating the relevance of the search query to each of the plurality of intent candidates.
The second acquisition procedure is
The information processing program according to claim 3, wherein the parameters are determined based on information indicating the relevance of the search query to each of the plurality of intention candidates. The content according to the intention of the search query is
Includes two or more transaction targets according to the intent of the search query among multiple transaction targets.
The plurality of intention candidates are
The information processing program according to claim 4, wherein the transaction target category and the transaction target brand are included. The information of the above two or more transaction targets is
The information processing program according to claim 5, wherein the information processing program includes information on two or more transaction targets traded in electronic commerce. The content acquired by the first acquisition procedure is
It is ranking information in which search targets are ranked according to the intention of the search query.
The next content acquired by the second acquisition procedure is
The information processing program according to any one of claims 1 to 6, wherein the ranking information is different from the content acquired by the first acquisition procedure. A third acquisition procedure for acquiring content that follows the next content acquired by the second acquisition procedure and that corresponds to the intention of the search query.
The third display processing procedure for displaying the subsequent content acquired by the third acquisition procedure on the display unit, and the third display processing procedure according to any one of claims 1 to 7, wherein the computer executes the procedure. Information processing program. The third acquisition procedure is
The information processing program according to claim 8, wherein the following content is acquired according to the display state of the next content on the display unit. It is an information processing method executed by a computer.
A transmission process that sends a search query according to the operation by the user,
The first acquisition step of acquiring the content according to the intention of the search query provided in response to the search query and the information indicating the intention of the search query.
The first display processing step of displaying the content acquired by the first acquisition step on the display unit, and
A second acquisition step of acquiring the next content following the content acquired by the first acquisition step and according to the intention of the search query, and a second acquisition step.
An information processing method characterized by causing a computer to execute a second display processing step of displaying the next content acquired by the second acquisition step on the display unit. A transmitter that sends a search query according to the operation by the user,
A first acquisition unit that acquires content according to the intent of the search query provided in response to the search query and information indicating the intent of the search query.
A first display processing unit that displays the content acquired by the first acquisition unit on the display unit, and
The second acquisition unit, which is the next content following the content acquired by the first acquisition unit and acquires the content according to the intention of the search query, and the second acquisition unit.
A terminal device including a second display processing unit that displays the next content acquired by the second acquisition unit on the display unit.

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