JP2019074816A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To provide an information processing device, an information processing method, and an information processing program which define appropriate order.SOLUTION: An information processing device comprises a determining unit and a changing unit. The determining unit determines a display order of a plurality of contents, namely, determines the display order changed from the display order based on a first indicator value, on the basis of a second indicator value associated with the contents different from the first indicator value associated with the contents, as the display order of the plurality of contents. The changing unit changes the display order determined by the determining unit, when the contents in which the first indicator value and the second indicator value satisfy prescribed conditions, among the plurality of contents, exist.SELECTED DRAWING: Figure 3

Description

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

  There are known sites for displaying a plurality of contents related to a product etc., such as a product search site. In such sites, multiple content may be ranked.

JP, 2012-203821, A

  Content ranking is performed based on various factors. However, the order may not always be appropriate.

  The present application is made in view of the above, and an object of the present application is to provide an information processing apparatus, an information processing method, and an information processing program capable of appropriately ranking.

  The information processing apparatus according to the present application is a display order of a plurality of contents, in which a display order based on the first index value is changed based on a second index value related to the contents different from the first index value related to the contents A determination unit that determines the order as the display order of the plurality of contents, and the determination is made among the plurality of contents when there is a content that satisfies the first index value and the second index value satisfying a predetermined condition And a change unit that changes the display order determined by the unit.

  According to one aspect of the embodiment, an advantage is provided that appropriate ranking can be performed.

FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. FIG. 2 is a diagram illustrating an exemplary configuration of an information processing system according to the embodiment. FIG. 3 is a diagram illustrating an exemplary configuration of the information processing apparatus according to the embodiment. FIG. 4 is a diagram showing an example of the content information storage unit according to the embodiment. FIG. 5 is a diagram illustrating an example of information processing according to the embodiment. FIG. 6 is a flowchart showing an information processing procedure according to the embodiment. FIG. 7 is a hardware configuration diagram showing an example of a computer for realizing the function of the information processing apparatus.

  Hereinafter, an information processing apparatus, an information processing method, and a mode for carrying out an information processing program according to the present application (hereinafter, referred to as “embodiment”) will be described in detail with reference to the drawings. Note that the information processing apparatus, the information processing method, and the information processing program according to the present application are not limited by the embodiment. Moreover, the same code | symbol is attached | subjected to the same site | part in the following each embodiment, and the overlapping description is abbreviate | omitted.

[1. Example of information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to the embodiment. The information processing apparatus 100 illustrated in FIG. 1 is a server apparatus that provides a search service for products and the like. In FIG. 1, the information processing apparatus 100 generates a plurality of items based on the degree of association between a phrase related to product content, which is a first index value related to content related to a product or service (hereinafter referred to as “product content”), and a search query. The score regarding the display order which is the order in which the item content is displayed as the search result is calculated. The information processing apparatus 100 scores the display order, which is the order in which the plurality of item contents are displayed as a search result, based on the plurality of index values for the item content, in addition to the association degree between the word / phrase for item content and the search query. Is calculated (step S1).

  Note that the information processing apparatus 100 has a click rate (CTR: Click), which is a probability that the user selects the product content, for example, as a plurality of index values for the product content, in addition to the degree of association between the term related to the product content and the search query. Through Rate), conversion rate (CVR: Conversion Rate), which is the probability that the user takes action to select goods content and then take action leading to profit such as purchase of goods or services or request for material etc. Based on the price of the product or the service to be performed, the page view number (PV: Page View) based on the results of the product content, etc., a score regarding the display order which is the order in which the plurality of product contents are displayed as search results is calculated.

  In the example illustrated in the upper part of FIG. 1, when the information processing apparatus 100 receives the search query “polo shirt” and “three-piece set”, the information content related to the product content and the search query “polo shirt” and “three-piece set” Calculate the degree of association. In the example shown in the upper part of FIG. 1, the information processing apparatus 100 sets the association degree of the product content C1 to 85, the association degree of the product content C2 to 96, the association degree of the product content C3 to 90, and the association degree of the product content C4 to 70. The degree of association of the item content C5 is 50, the degree of association of the item content C6 is 5, and the degree of association of the item content C7 is 1, and so on.

  Subsequently, the information processing apparatus 100 calculates a score related to the display order of the plurality of product contents based on the index values related to the plurality of product contents including the degree of association between the term related to the product content and the search query. In the example shown in the upper part of FIG. 1, the information processing apparatus 100 has a score of 100 for the product content C1, a score of 90 for the product content C2, a score of 80 for the product content C3, a score of 70 for the product content C4, and a product content C5. The score of 60 is calculated as follows: the score of the product content C6 is 50, the score of the product content C7 is 40, and so on.

  Specifically, the information processing apparatus 100 calculates a score using a model obtained by learning the weight of each index value, using a plurality of index values as feature amounts. For example, the information processing apparatus 100 calculates a higher score as the degree of association between a term related to product content and a search query is higher. Further, the information processing apparatus 100 processes the other index values in the same manner. For example, the information processing apparatus 100 calculates a higher score as the click rate, which is the probability that the user selects a product content, is higher. Further, the information processing apparatus 100 calculates a higher score as the conversion rate, which is the probability of the user performing an action of purchasing a product or the like following the action of selecting a product content, is higher.

  Subsequently, the information processing apparatus 100 corrects the score regarding the display order of the plurality of product contents based on the sales promotion ratio which is the ratio of the sales promotion cost to the price of the product or service which is the second index value related to the product content. The information processing apparatus 100 corrects the score such that the score is higher as the sales promotion ratio is higher. Then, the information processing apparatus 100 determines the display order of the plurality of product contents based on the corrected score (hereinafter, referred to as “corrected score”) (step S2).

  In the example shown in the middle part of FIG. 1, the information processing apparatus 100 sets the score 100 of the product content C1 to the correction score 10 based on the sales promotion ratio 0.1, and the score 90 of the product content C2 based on the sales promotion ratio 0.4. Based on the promotion score 0.1, the score 80 of the product content C3 is corrected to the correction score 36. Based on the promotion rate 0.05, the score 70 of the product content C4 is corrected to the correction score 3.5. .03, the product content C5 has a score of 60 as a correction score of 1.8, and the sales promotion ratio of 0.35 has a score of 50 as a correction score of 17.5, and the sales promotion ratio of 0.5 as a product The score 40 of the content C7 is corrected to the correction score 20, and so on.

  Then, the information processing apparatus 100 ranks the product content C2 first, the product content C7 second, the product content C6 third, the product content C1 fourth, and the product content C3 fifth in order from the content with the largest correction score. The display order of the plurality of product contents is determined as follows: the product content C4 is the sixth place, the product content C5 is the seventh place, and so on.

  Here, the plurality of item contents are displayed as search results in the search result contents. The search result content is content for displaying a plurality of product contents as a search result, and indicates content for displaying a plurality of product contents in the display order determined by the information processing apparatus 100. Specifically, the search result content is content for a web page or an application. Hereinafter, the search result content displayed on the initial screen is referred to as the first search result content. The first search result content SR1 includes five product contents in which the display order determined by the information processing apparatus 100 is first to fifth. Then, as a result of the display screen being switched by the user's operation, in the search result content displayed on the next display screen, five product contents from the sixth to tenth places in the display order determined by the information processing apparatus 100 are displayed. included. Furthermore, as a result of the display screen being switched by the user's operation, in the search result contents displayed on the next and subsequent display screens, 5 pieces of product contents having 11 or less display orders determined by the information processing apparatus 100 are each Included one by one.

  Subsequently, in the information processing apparatus 100, the degree of association between the term relating to the item content and the search query is an outlier among the plurality of items of the item content, and a sales promotion ratio which is a ratio of the sales promotion cost to the price of the item or service When there is a product content (hereinafter referred to as "outside content") exceeding a predetermined threshold, the display order of the plurality of product contents is changed so as not to be displayed in the first search result content SR1 (step S3). In addition, an outlier refers to a value greatly deviated from other observed values in the distribution of data. For example, suppose that there are 100 pieces of data which can take numerical values from 0 to 100. Further, it is assumed that among the 100 pieces of data, numerical values of 99 pieces of data are distributed between 80 and 90, and only the numerical value of the remaining 1 piece of data is 1. In this case, in the distribution of 100 pieces of data, the numerical value of the remaining 1 piece of data is an outlier because it greatly deviates from the other 99 observed values.

  In the example shown in the lower part of FIG. 1, the degree of association between the item content C6 and the item content other than the item content C7 is distributed between 50 and 96, while the item content C6 (degree of association 5) and the item The degree of association of content C7 (degree of association 1) is smaller than the degree of association of other item content. Therefore, the information processing apparatus 100 selects the product content C6 and the product content C7 as product content having an association value out of a plurality of product content among the five product contents displayed in the first search result content SR1. To detect

  Further, assuming that the predetermined threshold value is 0.35, the promotion ratio of the product content C2 (promotion ratio 0.4), the product content C6 (promotion ratio 0.35) and the product content C7 (promotion ratio 0.5) is predetermined Above the threshold of 0.35. Therefore, the information processing apparatus 100 detects the product content C2, the product content C6, and the product content C7 as the product content whose sales promotion ratio exceeds the predetermined threshold among the five product contents displayed in the first search result content SR1. Do.

  Subsequently, the information processing apparatus 100 determines that the product promotion rate exceeds the predetermined threshold for the product content C2, but the degree of association is not an outlier among the plurality of product contents, and thus the condition for the outset content is not satisfied. Do. On the other hand, since the information processing apparatus 100 is the outlier for the product content C6 and the product content C7 among the plurality of product content, and the sales promotion ratio exceeds the predetermined threshold, the condition for the outlier content It is determined that Therefore, the information processing apparatus 100 detects the product content C6 and the product content C7 as the outlier content.

  Subsequently, the information processing apparatus 100 lowers the display order of the product content C7 from the second place to the sixth place so that the product content C7 which is the outlier content is not displayed in the first search result content SR1. Further, the information processing apparatus 100 lowers the display order of the product content C6 from the third place to the seventh place so that the product content C6 which is the outlier content is not displayed in the first search result content SR1.

  In the information processing apparatus 100, instead of lowering the display order of the product content C7 and the product content C6, the display order of the product content C3 is from 5th to 3rd, and the display order of the product content C4 is from 6th to 4th. Then, the display order of the product content C5 is moved from seventh to fifth.

  Here, the information processing apparatus 100 may check again that the product content advancing the order does not satisfy the condition of the out-of-order content. For example, since the item content C3 has a degree of association of 90, the degree of association is not an outlier. Then, since the sales promotion ratio of the product content C3 is 0.1, the sales promotion ratio falls below 0.35, which is a predetermined threshold. Therefore, the information processing apparatus 100 determines that the product content C3 is not the outlier content because the product content C3 does not satisfy the condition of the outlier content. Then, the information processing apparatus 100 raises the order of the product content C3. Similarly, the information processing apparatus 100 is out of the product content C4 (degree of association 70, sales promotion ratio 0.05) and product content C5 (degree of association 50, sales promotion ratio 0.03) because the conditions of the content are not satisfied. It is determined that the content is not. Then, the information processing apparatus 100 raises the order of the product content C4 and the product content C5.

  As described above, the information processing apparatus 100 searches for a plurality of product contents based on index values for a plurality of product contents including the degree of association between a term related to the product content which is the first index value for the product content and the search query. Calculate the score for the display order, which is the order displayed as a result. As a result, the information processing apparatus 100 can rank the product content in the order in which the user easily purchases a product or the like while meeting the user's search intention.

  In addition, the information processing apparatus 100 is calculated based on a sales promotion ratio indicating an index value different from the first index value and indicating a ratio of the sales promotion cost to the price of the product or service, which is the second index value related to the product content. Correct the score. As a result, the information processing apparatus 100 can rank product content to reflect the sales effort of the product or service seller.

  Then, in the information processing apparatus 100, the degree of association between the term relating to the product content which is the first index value and the search query is an outlier among the plurality of product contents, and the product or service of the second index value. The display order of the plurality of product contents is changed so that the content is not displayed in the first search result content SR1 when there is outlier content in which the sales promotion ratio indicating the ratio of the sales promotion cost to the price exceeds a predetermined threshold. As a result, the information processing apparatus 100 can lower the display order of the product content that has risen to the top of the search results because the sales promotion ratio is high although it does not match the search intention of the user. Therefore, the information processing apparatus 100 can perform the display order desired by the user.

  In addition, the information processing apparatus 100 can prevent a product content having an extremely low degree of association with a search query from being displayed in the first search result content. That is, the information processing apparatus 100 can prevent the product content that largely deviates from the user's search intention from being first noticed by the user as a search result. Therefore, the information processing apparatus 100 can perform the display order desired by the user.

  In addition, since the information processing apparatus 100 has a high sales promotion ratio, product content that has risen as a search result of a product unrelated to the product sold by the user against the intention of the seller is displayed as the first search result. Can be prevented. That is, the information processing apparatus 100 can prevent the product content from being displayed as a search result of unrelated products against the sales intention of the seller. Thus, the information processing apparatus 100 can perform the display order desired by the seller.

  In addition, the information processing apparatus 100 displays other product content at a higher rank instead of the product content largely deviated from the user's search intention. As a result, the information processing apparatus 100 can make the user see the product content that is easily purchased by the user while meeting the user's search intention. In addition, the information processing apparatus 100 displays other product content at a higher rank instead of the product content largely deviated from the sales intention of the seller. As a result, the information processing apparatus 100 can display the product content that matches the sales intention of the seller at a higher level as the product search result. Therefore, the information processing apparatus 100 can be in the display order desired by the user and in the display order desired by the seller. That is, the information processing apparatus 100 can perform appropriate ranking.

[2. Configuration of information processing system]
Next, the configuration of the information processing system 1 including the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 2 is a diagram illustrating an exemplary configuration of the information processing system 1 according to the embodiment. As illustrated in FIG. 2, the information processing system 1 according to the embodiment includes the user terminal 10, the shop terminal 20, and the information processing apparatus 100. These various devices are communicably connected by wire or wireless via a network N (for example, the Internet). The information processing system 1 illustrated in FIG. 2 may include a plurality of user terminals 10 and a plurality of shop terminals 20.

  The user terminal 10 is a terminal device used by a user. The user terminal 10 is realized by, for example, a smartphone, a tablet terminal, a notebook PC (Personal Computer), a desktop PC, a mobile phone, a PDA (Personal Digital Assistant), or the like. The user terminal 10 transmits, to the information processing apparatus 100, the search query input to the search service for a product or the like according to the operation of the user. The user terminal 10 displays the search result content distributed by the information processing apparatus 100 on the display screen.

  Specifically, when the user terminal 10 is a smartphone, a predetermined application is installed on the user terminal 10, and the search result content distributed by the information processing apparatus 100 is displayed on the display screen of the user terminal 10 by the application. indicate. The application referred to here means, for example, a dedicated application for displaying search result content distributed by a browser or the information processing apparatus 100.

  The store terminal 20 is a terminal device used by a seller of goods or services. For example, the shop terminal 20 is a tablet type terminal, a PC, a mobile phone, a PDA, or the like. Further, the shop terminal 20 transmits the product content to the information processing apparatus 100 together with the sales promotion ratio indicating the ratio of the sales promotion cost to the price of the product or service and the text information on the product content according to the operation of the seller.

  For example, the shop terminal 20 transmits product information corresponding to a still image, a moving image, text data, and the like to the information processing apparatus 100. Also, for example, when the product content is selected (for example, clicked or tapped), the shop terminal 20 transmits, to the information processing apparatus 100, the product content corresponding to the URL (Uniform Resource Locator) of the transition destination content to be transitioned. You may

  The information processing apparatus 100 is a server apparatus that performs the information processing described in FIG. 1. The information processing apparatus 100 is a server apparatus that provides a shopping service that accepts exhibitions of a plurality of products from a plurality of stores and sells the products through the Internet. Here, the shopping service provided by the information processing apparatus 100 is a shopping mall type service that handles products exhibited from a plurality of different stores. Further, the information processing apparatus 100 is a server apparatus that provides a search service for products and the like.

  The information processing apparatus 100 acquires the product content from the shop terminal 20 together with the sales promotion ratio indicating the ratio of the sales promotion cost to the price of the product or service and the text information on the product content. When the product content is acquired together with the sales promotion ratio and the text information on the product content, the information processing apparatus 100 collects various user log data on the acquired product content. Then, the information processing apparatus 100 calculates various index values related to the product content based on the collected log data of various users.

  The information processing apparatus 100 receives a search query from the user terminal 10. When the information processing apparatus 100 receives the search query, the information processing apparatus 100 determines the display order of the plurality of product contents based on the calculated index value. Further, when there is out-of-order content, the information processing apparatus 100 changes the display order of the plurality of product contents. Then, the information processing apparatus 100 distributes, to the user terminal 10, search result contents in which a plurality of product contents are displayed in the display order that has been determined or in the case where out-of-order contents exist.

[3. Configuration of information processing apparatus]
Next, the information processing apparatus 100 according to the embodiment will be described with reference to FIG. FIG. 3 is a diagram illustrating an exemplary configuration of the information processing apparatus 100 according to the embodiment. As shown in FIG. 3, the information processing apparatus 100 includes a communication unit 110, a storage unit 120, and a control unit 130.

(Communication unit 110)
The communication unit 110 is realized by, for example, a network interface card (NIC). The communication unit 110 is connected to the network N in a wired or wireless manner, and transmits and receives information to and from, for example, the user terminal 10 and the shop terminal 20.

(Storage unit 120)
The storage unit 120 is realized by, for example, a semiconductor memory device such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. As illustrated in FIG. 3, the storage unit 120 includes a content information storage unit 121 and a content storage unit 122.

(Content information storage unit 121)
The content information storage unit 121 stores various types of information related to product content received from the shop terminal 20. FIG. 4 shows an example of the content information storage unit 121 according to the embodiment. In the example illustrated in FIG. 4, the content information storage unit 121 has items such as “content ID”, “product name”, “product description”, “CTR”, “CVR”, “price”, and “number of PV”. Besides the content shown in FIG. 4, the content information storage unit 121 may have an item such as “store ID” which is identification information for identifying the store terminal 20 that is the transmission source of the product content.

  The “content ID” indicates identification information for identifying the item content received from the shop terminal 20.

  "Product name" indicates the name of the product or service corresponding to the product content. The product name is the most commonly used word / phrase as a search query that the user inputs when searching for a product or the like. In the example illustrated in FIG. 4, the product name of the product corresponding to the product content identified by the content ID “C1” is “Polo shirt”.

  "Product description" indicates a description of a product or service corresponding to the product content. The item description is information provided by the store so as to be a clue when the user considers the purchase of the item or the like. Therefore, the item description often includes a phrase that matches the search query that the user inputs when searching for an item or the like. For example, the item description includes a term such as a category such as an item or a feature such as an item. In the example illustrated in FIG. 4, the item description of the item corresponding to the item content identified by the content ID “C1” is “short sleeve, men's”.

  “CTR” indicates a click rate which is a probability that the user selects the item content. The click rate is calculated by dividing the number of times the item content is selected (the number of clicks) by the number of times the item content is displayed (the number of impressions). In the example illustrated in FIG. 4, the CTR of the item content identified by the content ID “C1” is “0.2”.

  “CVR” indicates a conversion rate, which is the probability of the user performing an action to select a product content, followed by an action such as a purchase of a product or service, a request for material, or the like for the seller. The conversion rate is the number of conversions by which the product content has been selected so far as the number of actions leading to profit for the seller such as the purchase of a product or service or the request for material following the user's action to select product content Calculated by dividing by the number of times. In the example illustrated in FIG. 4, the CVR of the item content identified by the content ID “C1” is “0.2”.

  “Price” indicates the selling price of the product or service corresponding to the product content. In the example shown in FIG. 4, the price of the product corresponding to the product content identified by the content ID “C1” is “3000” (yen).

  The “number of PV” indicates the number of page views, which is the total number of times the product content has been browsed. In the example illustrated in FIG. 4, the number of PV of the item content identified by the content ID “C1” is “10000”.

(Content storage unit 122)
The content storage unit 122 stores various product content. The content storage unit 122 stores data of content corresponding to the content ID of the content information storage unit 121. The content storage unit 122 stores data of product content such as audio data, image data, text data, game data, data in a game format, etc. in association with a content ID. In addition, the content storage unit 122 may store a URL where each item content is located, a file path name indicating a storage location of these, or the like in association with the content ID.

(Control unit 130)
Returning to the description of FIG. 3, the control unit 130 is a controller, and is stored in a storage device in the information processing apparatus 100 by, for example, a central processing unit (CPU) or a micro processing unit (MPU). Various programs (corresponding to an example of a generation program) are realized by executing the RAM as a work area. The control unit 130 is a controller, and is realized by, for example, an integrated circuit such as an application specific integrated circuit (ASIC) or a field programmable gate array (FPGA).

  Further, the control unit 130 sets each element belonging to each layer other than the output layer as a first element with respect to the index value related to the predetermined product content input to the input layer by the information processing according to the product content model described later. By performing an operation based on the first element and the weight of the first element, whether or not a predetermined item content is selected by the user, and whether an item or the like is purchased following an action selected by the user Make the computer function to output the score on the output layer from the output layer.

  As shown in FIG. 3, the control unit 130 includes a document input unit 131, a reception unit 132, a selection unit 133, a determination unit 134 having a calculation unit 134A and a correction unit 134B, a change unit 135, and a distribution unit. And implements or executes the action of the information processing described below. Note that the internal configuration of the control unit 130 is not limited to the configuration illustrated in FIG. 3, and may be another configuration as long as it performs the information processing described later.

(Draft Section 131)
The submission unit 131 accepts submission of product content. Specifically, the submission unit 131 accepts the submission of the product content from the shop terminal 20 together with the sales promotion ratio indicating the ratio of the sales promotion cost to the price of the product or service and the text information on the product content. Here, the text information related to the product content refers to character information included in the product name and the product description displayed together with the product content when the product content is displayed as a search result. For example, the submission unit 131 receives submission of product content from a plurality of shop terminals desiring to open a shopping service provided by the information processing apparatus 100, and acquires a plurality of product content. When the submission of the product content is accepted, the submission unit 131 extracts a term related to the product content from text information on the product content and stores the term in the content information storage unit 121. In addition, the submission unit 131 stores the product content in the content storage unit 122.

  In the example shown in the first record of FIG. 4, when the submission unit 131 receives submission of the product content C1, the content such as “polo shirt”, “short sleeve”, and “men's” is selected as a word relating to the product content C1. Extract from text information on C1. Subsequently, the submission unit 131 stores the extracted word “polo shirt” in the item of the product name of the content information storage unit 121. In addition, the submission unit 131 stores the extracted words “short sleeve” and “mens” in the item of item description of the content information storage unit 121.

  The drafting unit 131 extracts terms relating to the product content from the text information relating to the product content received from the shop terminal 20 using weight values such as tf-idf (Term Frequency, Inverse Document Frequency). May be For example, the submission unit 131 may not extract words that are widely used words and that are determined not to be useful for searching for product content as terms relating to product content. For example, the submission unit 131 uses the weight value such as tf-idf, and according to the weight of each word, each of the content information storage units 121 such as a product name and a product description extracts a word extracted as a term related to product content. It may be classified into items.

(Reception unit 132)
The receiving unit 132 receives a search query from the user terminal 10. Specifically, the reception unit 132 provides the user terminal 10 with a search query input screen. Then, the receiving unit 132 receives, from the user terminal 10, the search query input to the provided input screen. For example, the reception unit 132 receives, from the user terminal 10, the search query “polo shirt” and “three-piece set” input by the user who uses the shopping service provided by the information processing apparatus 100. Further, the receiving unit 132 receives, from the user terminal 10, a request for obtaining search results for the search query, as well as the search query. For example, the reception unit 132 receives, from the user terminal 10, a request for acquiring search results for the search query “Polo shirt” and “3 sets” input by the user who uses the shopping service provided by the information processing apparatus 100.

(Selection unit 133)
The selection unit 133 selects a predetermined number of product contents based on the degree of association between the search query and the term relating to the product content, which is the first index value related to the product content.

  Specifically, when the receiving unit 132 receives a search query, the selecting unit 133 refers to the content information storage unit 121, and the degree of association between the search query and the term relating to the product content acquired by the submission unit 131. Calculate For example, when the receiving unit 132 receives the search query “polo shirt” and “three-piece set”, the selecting unit 133 refers to the first record of the content information storage unit 121 and stores the “product name”. Words such as “short sleeves” and “mens” stored in the “polo shirt” and the item description are extracted as terms relating to the item content C1. Subsequently, the selection unit 133 determines that the degree of matching of the words “polo shirt”, “short sleeve”, “mens” and search query “polo shirt”, “3 sets” extracted as words and phrases related to the product content C1 is higher. The degree of association between the term relating to the item content C1 and the search query is calculated so as to be higher.

  In the example illustrated in the upper part of FIG. 1, when the receiving unit 132 receives the search query “polo shirt” and “three-piece set”, the selecting unit 133 determines the product content as the degree of association between the term related to product content and the search query. The association degree of C1 is 85, the association degree of product content C2 is 96, the association degree of product content C3 is 90, the association degree of product content C4 is 70, the association degree of product content C5 is 50, and the association degree of product content C6 5. The degree of association of the product content C7 is calculated as 1,.

  Subsequently, the selection unit 133 selects the item content from the first place to the predetermined order in descending order of the degree of association between the calculated term and the item related to the item content and the search query. Specifically, the selection unit 133 ranks the item contents acquired by the editorial unit 131 in descending order of the degree of association, based on the calculated degree of association between the term related to the item content and the search query. Then, the selection unit 133 selects, for example, 1000 pieces of product content from the first place to the 1000th place ranked.

(Determination unit 134)
The determination unit 134 determines the display order of the plurality of product content items selected by the selection unit 133. Specifically, the determination unit 134 is a display order of the plurality of product contents, and a second index value related to the product content which is different from the relatedness of the search query and the term related to the product content which is the first index value related to the product content. The display order in which the display order based on the first index value is changed is determined as the display order of the plurality of product contents based on the sales promotion ratio indicating the ratio of the sales promotion cost to the price of the product or service.

  For example, the determining unit 134 is a product that is a first index value based on a sales promotion ratio indicating the ratio of the sales promotion cost to the price of the product or service, which is the second index value, in the display order of the plurality of product contents. The display order is changed based on the degree of association between the content-related terms and the search query, and another index value different from any of the first index value and the second index value. Do. For example, the determination unit 134 is the display order of the plurality of product contents selected by the selection unit 133, and the product content and the search query calculated by the selection unit 133 based on the sales promotion ratio acquired by the submission unit 131. The display order is based on the relevancy and the index value of the product content such as click rate, conversion rate, product or service price, and the number of page views based on results, which are other index values different from any of the relevancy and sales promotion ratio. The changed display order is determined as the display order of the plurality of contents.

  The determination unit 134 includes a calculation unit 134A and a correction unit 134B, and determines the display order of the plurality of product contents as the display order of the plurality of product contents based on the score corrected by the correction unit 134B. Do.

(Calculation unit 134A)
The calculating unit 134A calculates a score related to the display order of the plurality of product contents based on the degree of association between the search query and the term relating to the product content which is the first index value. The calculator 134A calculates a score related to the display order of the plurality of product contents based on the plurality of index values related to the product content in addition to the first index value. Specifically, in addition to the degree of association between the product content selected by the selection unit 133 and the search query, the calculation unit 134A selects a plurality of product contents selected by the selection unit 133 based on a plurality of index values related to the product content. Calculate the score regarding the display order of.

  First, based on the information of the user who uses the shopping service provided by the information processing apparatus 100, the calculating unit 134A first determines a plurality of index values related to the product content in addition to the degree of association between the product content and the search query. The click rate, which is the probability that the user selects the product content, and the conversion rate, which is the probability that the user performs the product content selection, then the behavior such as purchasing goods or services or making a profit for the seller , Calculate the number of page views etc. based on the results of the product content.

  Subsequently, secondly, the calculation unit 134A generates a model of a product content (product content model) based on the various index values related to the calculated product content. Specifically, the calculation unit 134A calculates a higher score for a product content that has a high probability of being selected by the user and a high probability of the user performing an action of purchasing a product etc. following an action of selecting a product content. Generate a product content model that has been learned to be For example, the calculating unit 134A generates a product content model in which the weights of the respective index values are learned using the plurality of index values as feature amounts. For example, the calculation unit 134A generates a product content model learned so as to calculate a higher score as the degree of association between the product content and the search query is larger. In addition, the calculation unit 134A generates a product content model learned so as to process other index values in the same manner. For example, the calculation unit 134A generates a product content model learned so as to calculate a higher score as the click rate, which is the probability that the product content is selected by the user, is higher. In addition, the calculation unit 134A generates a product content model learned so as to calculate a higher score as the conversion rate, which is the probability of the user performing an action of selecting a product content and then performing an action of purchasing a product or the like, is higher.

  Subsequently, thirdly, the calculation unit 134A calculates the score of each item content using the generated item content model. In the example illustrated in the upper part of FIG. 1, the calculation unit 134A sets the score of the product content C1 to 100 and the score of the product content C2 based on the index values related to the plurality of product contents including the degree of association between the product contents and the search query. 90, the product content C3 score is 80, the product content C4 score is 70, the product content C5 score is 60, the product content C6 score is 50, the product content C7 score is 40, and so on .

  Subsequently, fourthly, the calculation unit 134A uses the calculated score as a score related to the display order of the plurality of product contents.

  The calculating unit 134A may generate the product content model using any learning algorithm. For example, the calculation unit 134A generates a product content model using a learning algorithm such as a neural network, a support vector machine, clustering, and reinforcement learning. As an example, when the calculation unit 134A generates a product content model using a neural network, the product content model includes an input layer including one or more neurons, an intermediate layer including one or more neurons, and one or more neurons. And an output layer.

(Correction unit 134B)
The correction unit 134B corrects the score calculated by the calculation unit 134A based on the sales promotion ratio, which is the ratio of the sales promotion cost to the price of the product or service that is the second index value. Specifically, the correction unit 134B corrects the score such that the score becomes higher as the sales promotion ratio is higher. For example, the correction unit 134B corrects the score calculated by the calculation unit 134A by multiplying the score of each product content calculated by the calculation unit 134A by a numerical value proportional to the sales promotion ratio of each product content acquired by the submission unit 131. Do.

  In the example shown in the middle part of FIG. 1, the correction unit 134B corrects the score 100 of the product content C1 to the correction score 10 based on the sales promotion ratio 0.1, and corrects the score 90 of the product content C2 based on the sales promotion ratio 0.4. Based on the sales promotion ratio 0.1, the score 80 of the product content C3 is corrected to the score 36, and on the sales promotion ratio 0.05, the score 70 of the product content C4 is corrected to the correction score 3.5. The product content C5 has a score of 60 based on 03 as a correction score, and the product content C6 has a score of 50 based on a sales promotion ratio of 0.35, a correction score of 17.5, and product content based on a sales promotion ratio of 0.5 The score 40 of C7 is corrected to the correction score 20, and so on.

  Then, the determination unit 134 determines the display order based on the score corrected by the correction unit 134B as the display order of the plurality of product contents. In the example shown in the middle of FIG. 1, the determination unit 134 sets the product content C2 first, the product content C7 second, the product content C6 third, and the product content C1 fourth, in order from the content with the largest correction score. The display order of the plurality of item contents is determined as follows: the item content C3 is fifth, the item content C4 is sixth, and the item content C5 is seventh.

(Change unit 135)
The changing unit 135 changes the display order of the plurality of determined item contents. Specifically, the changing unit 135 selects a sales promotion cost for the price of the product or service, which is the second index value, and the degree of association between the term related to the product content which is the first index value and the search query among the plurality of product contents. The display order determined by the determination unit 134 is changed when there is a product content that satisfies the predetermined condition as the sales promotion ratio indicating the ratio of.

  Specifically, the changing unit 135 is configured such that, among the plurality of product contents, the degree of association between the phrase related to the product content that is the first index value and the search query is an outlier among the plurality of product contents, and Change the display order of the plurality of product contents determined by the determination unit 134 when there is a product content in which the sales promotion ratio indicating the ratio of the sales promotion cost to the price of the product or service which is the two index values exceeds a predetermined threshold Do. For example, the changing unit 135 detects out-of-order content in which the first index value is an outlier among the plurality of item contents and the second index value exceeds the predetermined threshold value among the plurality of item contents. Subsequently, the change unit 135 changes the display order determined by the determination unit 134 by lowering the display order of the detected outlier content and raising the display order of the other item content.

  Here, an outlier refers to a value greatly deviated from other observed values in the distribution of data. For example, the change unit 135 detects product content whose first index value is an outlier among a plurality of product content, with the upper limit and lower limit of 1.5 times the interquartile range (IQR). Then, the changing unit 135 sets “first quartile −1.5 × IQR” as the lower limit of the first index value and “third quartile + 1.5 × IQR” as the upper limit of the first index value. Product content with a first index value smaller than the lower limit or product content with a first index value larger than the upper limit is detected as product content whose first index value is an outlier among a plurality of product contents. In general, it is rare that the first index value, which is the degree of association between a term related to item content and a search query, deviates significantly from the upper limit. Therefore, the changing unit 135 may detect only product content whose first index value is smaller than the lower limit as outlier content.

  Note that the interquartile range (IQR) is one of the scales representing the degree of data dispersion in data distribution. The interquartile range (IQR) is determined as "third quartile (75 percentile)-first quartile (25 percentile)". Here, the third quartile is a number that is 75% counted from the beginning when the data are arranged in ascending order. The first quartile is a number that is 25% counted from the beginning when the data are arranged in the order of smallness.

  In the example illustrated in the lower part of FIG. 1, the changing unit 135 sets “first quartile −1.5 × IQR” to the lower limit of the first index value and “third quartile + 1.5 × IQR”. As the upper limit of the first index value, the product content C6 (degree of association 5) and the item content C7 (degree of association 1) are selected as the product content in which the first index value is smaller than the lower limit and the product content in which the first index value is larger than the upper limit One index value is detected as a product content which is an outlier among a plurality of product contents. In addition, the changing unit 135 sets product content C6 (degree of association 5) as product content in which the first index value is smaller than the lower limit with “first quartile −1.5 × IQR” as the lower limit of the first index value. And the item content C7 (degree of association 1) may be detected as item content whose first index value is an outlier among a plurality of item contents.

  In addition, assuming that the predetermined threshold is 0.35, the changing unit 135 sets the product content C2 (sales promotion ratio 0.4) and the product content C6 (sales promotion ratio 0.35) as the product content whose sales promotion ratio exceeds the predetermined threshold. And product content C7 (promotion rate 0.5).

  Subsequently, among the detected product content, the change unit 135 detects the product content C2 whose sales promotion ratio exceeds the predetermined threshold, but the degree of association is not an outlier among the plurality of product content. It is determined that On the other hand, since the changing unit 135 determines that the product content C6 and the product content C7 are outliers among the plurality of product content and the sales promotion ratio exceeds the predetermined threshold, the condition of the outlier content is satisfied. It is determined that Therefore, the change unit 135 detects the product content C6 and the product content C7 as outliers.

  Further, the changing unit 135 is configured such that the first index value and the second index value of the plurality of search result contents in which the plurality of product contents are displayed in the display order based on the score corrected by the correction unit 134B are predetermined conditions. The display order of the plurality of product contents determined by the determination unit 134 is changed such that the product contents satisfying the above are displayed in the search result contents other than the first search result content.

  Specifically, the change unit 135 detects out of the plurality of product contents the outset content in which the first index value is an outlier among the plurality of product contents and the second index value exceeds the predetermined threshold. Do. Subsequently, when the detected out-of-order content is displayed in the display order based on the score corrected by the correction unit 134B, the changing unit 135 displays the out-of-order content within the display order displayed in the first search result content. Lower the display order so that the display order of the outlier content is displayed in the search result content. Subsequently, the changing unit 135 changes the display order determined by the determining unit 134 by raising the display order of the other item content instead of the out-of-order content which has been lowered.

  In the example shown in the lower part of FIG. 1, the changing unit 135 lowers the display order of the product content C7 from the second place to the sixth place so that the product content C7 detected as the outlier content is not displayed in the first search result content SR1. Further, the changing unit 135 lowers the display order of the product content C6 from the third place to the seventh place so that the product content C6 which is the outlier content is not displayed in the first search result content SR1.

  Subsequently, instead of lowering the display order of the product content C6 and the product content C7, the change unit 135 changes the display order of the product content C3 from fifth to third and the display order of the product content C4 from sixth to fourth. Then, the display order of the product content C5 is moved from seventh to fifth.

(Distribution unit 136)
The distribution unit 136 distributes the search result content to the user terminal 10. Specifically, the distribution unit 136 distributes, to the user terminal 10, a plurality of search result contents in which a plurality of product contents are displayed in the display order determined by the determination unit 134.

  Here, the outline of the processing example of each processing unit described above will be described with reference to FIG. FIG. 5 shows an example of information processing according to the embodiment. In the example illustrated in FIG. 5, the information processing apparatus 100 selects a predetermined number of product contents in order from the one with the highest degree of association between the product content and the search query (step S <b> 11).

  Subsequently, the information processing apparatus 100 calculates a score related to the display order of the plurality of item contents based on the plurality of index values including the degree of association between the item contents and the search query (step S12).

  Subsequently, the information processing apparatus 100 corrects the score based on the sales promotion ratio, and determines the display order of the plurality of product contents based on the corrected score (corrected score) (step S13).

  Subsequently, the information processing apparatus 100 changes the display order so as not to be displayed in the first search result content, when there is an outlier whose degree of association is an outlier and the sales promotion ratio exceeds the predetermined threshold (step S14).

[4. Flow of information processing]
Next, the procedure of the information processing according to the embodiment will be described with reference to FIG. FIG. 6 is a flowchart showing an information processing procedure according to the embodiment.

  As shown in FIG. 6, the information processing apparatus 100 determines whether a search query has been received from the user terminal 10 (step S101). When the information processing apparatus 100 has not received a search query from the user terminal 10 (step S101; No), the information processing apparatus 100 stands by until a search query is received from the user terminal 10.

  When the information processing apparatus 100 receives a search query from the user terminal 10 (step S101; Yes), the information processing apparatus 100 calculates the degree of association between a term related to product content and the search query (step S102).

  Subsequently, the information processing apparatus 100 selects a predetermined number of product contents in descending order of the degree of association between the product contents and the search query (step S103).

  Subsequently, the information processing apparatus 100 calculates a score related to the display order of the plurality of item contents based on the plurality of index values including the degree of association between the item contents and the search query (step S104).

  Subsequently, the information processing apparatus 100 corrects the score regarding the display order based on the sales promotion ratio (step S105).

  Subsequently, the information processing apparatus 100 determines the display order of the plurality of product contents based on the corrected score (step S106).

  Subsequently, the information processing apparatus 100 determines whether there is an outlier having a degree of association and outlier content having a sales promotion ratio exceeding a predetermined threshold (step S107). The information processing apparatus 100 distributes the search result content including the product content to the user terminal 10, when there is no content whose degree of association is the outlier and the sales promotion ratio exceeds the predetermined threshold (step S107; No) S109).

  The information processing apparatus 100 changes the display order so that the outlier content is not displayed in the first search result content when there is an outlier with the degree of association and the outlier content having a sales promotion ratio exceeding a predetermined threshold (step S107; Yes) (Step S108).

  Subsequently, the information processing apparatus 100 distributes the search result content including the product content to the user terminal 10 (step S109).

[5. effect〕
As described above, the information processing apparatus 100 according to the embodiment includes the determination unit 134 and the change unit 135. The determining unit 134 is a display order of the plurality of contents, and the display order of the plurality of contents is changed in the display order based on the first index value based on the second index value related to the content different from the first index value Determined as the display order of The change unit 135 changes the display order determined by the determination unit 134 when there is content among the plurality of contents in which the first index value and the second index value satisfy predetermined conditions.

  Thereby, in the information processing apparatus 100 according to the embodiment, even if the display order based on the predetermined index value related to the content is changed based on the other index value, the display order which is not appropriate is changed. When there is content having the first index value and the second index value satisfying predetermined conditions, the display order can be changed. Therefore, the information processing apparatus 100 can perform appropriate ranking.

  In addition, the changing unit 135 is a determination unit when there is content among the plurality of contents in which the first index value is an outlier among the plurality of contents and the second index value exceeds the predetermined threshold. The display order of the plurality of contents determined by 134 is changed.

  As a result, the information processing apparatus 100 changes the display order based on the predetermined index value related to the content based on the other index values, thereby changing the display order which is not appropriate, so that the display order is the same. It is possible to identify inappropriate content and change its display order. Therefore, the information processing apparatus 100 can perform appropriate ranking.

  In addition, the determination unit 134 calculates the score related to the display order of the plurality of contents based on the first index value, and the correction unit 134B corrects the score calculated by the calculation unit 134A based on the second index value. The display order of the plurality of contents is determined as the display order of the plurality of contents based on the score corrected by the correction unit 134B.

  Thus, the information processing apparatus 100 can objectively determine whether each content is desired by the user by using the numerical value of the score regarding the display order of the content. Thus, the information processing apparatus 100 can rank the contents in the order desired by the user. Therefore, the information processing apparatus 100 can perform appropriate ranking.

  Further, the changing unit 135 is configured such that the first index value and the second index value have predetermined conditions among the plurality of search result contents in which the plurality of contents are displayed in the display order based on the score corrected by the correction unit 134B. The display order of the plurality of contents determined by the determination unit 134 is changed so that the contents to be satisfied are displayed in the search result contents other than the first search result contents.

  Thus, the information processing apparatus 100 can display more content desired by the user in the first search result content by not displaying content not desired by the user in the first search result content. Thus, the information processing apparatus 100 can rank the contents in the order desired by the user. Therefore, the information processing apparatus 100 can perform appropriate ranking.

  In addition, the determination unit 134 is configured to display the plurality of pieces of content in the display order, and based on the second index value, the first index value and another index value different from both the first index value and the second index value. The display order in which the display order based is changed is determined as the display order of the plurality of contents.

  Thereby, the information processing apparatus 100 can comprehensively determine whether each content is desired by the user by using the score calculated based on the plurality of index values related to the content. Thus, the information processing apparatus 100 can rank the contents in the order desired by the user. Therefore, the information processing apparatus 100 can perform appropriate ranking.

  In addition, the determination unit 134 is the display order of the plurality of contents, and the display order based on the index value indicating the degree of association between the word / phrase related to the content and the search query is the first index value based on the second index value. The changed display order is determined as the display order of the plurality of contents. In addition, the determination unit 134 is the display order of the plurality of contents, and the display order based on the first index value is changed as the second index value based on the information related to the promotion of the product or service. Determined as the display order of multiple contents.

  As a result, the information processing apparatus 100 can rank the product content in the order in which the user easily purchases a product or the like while meeting the user's search intention. In addition, the information processing apparatus 100 can rank product content so as to reflect sales efforts of a product or service seller. In addition, the information processing apparatus 100 can prevent a product content having an extremely low degree of association with a search query from being displayed in the first search result content. That is, the information processing apparatus 100 can prevent the product content that largely deviates from the user's search intention from being first noticed by the user as a search result. Thereby, the information processing apparatus 100 can perform the display order desired by the user. In addition, since the information processing apparatus 100 has a high sales promotion ratio, product content that has risen as a search result of a product unrelated to the product sold by the user against the intention of the seller is displayed as the first search result. Can be prevented. That is, the information processing apparatus 100 can prevent the product content from being displayed as a search result of unrelated products against the sales intention of the seller. Thus, the information processing apparatus 100 can perform the display order desired by the seller. Therefore, the information processing apparatus 100 can perform appropriate ranking.

  In addition, since the information processing apparatus 100 displays other product content at a higher rank instead of the product content largely deviated from the user's search intention, the product purchase etc. can be performed by the user while meeting the user's search intention more. It is possible to make the product content easy to be performed to the user's eyes. Thereby, the information processing apparatus 100 can perform the display order desired by the user. In addition, since the information processing apparatus 100 displays other product content at a higher rank instead of the product content largely deviated from the sales intention of the seller, the product content more consistent with the sales intention of the seller is the search result of the product. It can be displayed at the top. Thus, the information processing apparatus 100 can perform the display order desired by the seller. Therefore, the information processing apparatus 100 can be in the display order desired by the user and in the display order desired by the seller. That is, the information processing apparatus 100 can perform appropriate ranking.

[6. Hardware configuration]
The information processing apparatus 100 according to the embodiment described above is realized by, for example, a computer 1000 having a configuration as shown in FIG. FIG. 7 is a hardware configuration diagram showing an example of a computer for realizing the functions of the information processing apparatus 100. The computer 1000 includes a CPU 1100, a RAM 1200, a ROM 1300, an HDD 1400, a communication interface (I / F) 1500, an input / output interface (I / F) 1600, and a media interface (I / F) 1700.

  The CPU 1100 operates based on a program stored in the ROM 1300 or the HDD 1400 to control each part. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 starts up, a program depending on the hardware of the computer 1000, and the like.

  The HDD 1400 stores a program executed by the CPU 1100, data used by the program, and the like. The communication interface 1500 receives data from another device via a predetermined communication network, sends the data to the CPU 1100, and transmits data generated by the CPU 1100 to the other device via the predetermined communication network.

  The CPU 1100 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 1600. The CPU 1100 acquires data from an input device via the input / output interface 1600. The CPU 1100 also outputs the generated data to the output device via the input / output interface 1600.

  The media interface 1700 reads a program or data stored in the recording medium 1800 and provides the CPU 1100 with the program via the RAM 1200. The CPU 1100 loads such a program from the recording medium 1800 onto the RAM 1200 via the media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a digital versatile disc (DVD) or a phase change rewritable disc (PD), an optical magnetic recording medium such as a magneto-optical disk (MO), a tape medium, a magnetic recording medium Etc.

  For example, when the computer 1000 functions as the information processing apparatus 100 according to the embodiment, the CPU 1100 of the computer 1000 executes a program or data (for example, a product content model) loaded on the RAM 1200 to allow the control unit 130 to To realize the function. The CPU 1100 of the computer 1000 reads and executes these programs or data (for example, a product content model) from the recording medium 1800, but as another example, these programs or data from another device through a predetermined communication network (For example, a product content model) may be acquired.

  Although some of the embodiments of the present application have been described above in detail based on the drawings, these are only examples, and various modifications can be made based on the knowledge of those skilled in the art, including the aspects described in the section of the description of the invention. It is possible to implement the invention in other improved forms.

[7. Other]
Further, among the processes described in the embodiment and the modification, all or part of the process described as being automatically performed can be manually performed, or it is described as manually performed. All or part of the treatment may be performed automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above-mentioned documents 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 device illustrated is functionally conceptual, and does not necessarily have to be physically configured as illustrated. That is, the specific form of the distribution and integration of each device is not limited to the illustrated one, and all or a part thereof may be functionally or physically dispersed in any unit depending on various loads, usage conditions, etc. It can be integrated and configured.

  Moreover, it is possible to combine suitably the embodiment and modification which were mentioned above in the range which does not make process content contradictory.

  In addition, the "section (module, unit)" described above can be read as "means" or "circuit". For example, the change unit can be read as change means or a change circuit.

DESCRIPTION OF SYMBOLS 1 information processing system 10 user terminal 20 store terminal 100 information processing apparatus 121 content information storage unit 122 content storage unit 131 input unit 132 reception unit 133 selection unit 134 determination unit 134A calculation unit 134B correction unit 135 change unit 136 distribution unit

Claims (9)

The display order of the plurality of contents is the display order of the plurality of contents, and the display order of the plurality of contents is changed in the display order based on the first index value based on the second index value related to the content different from the first index value related to the content A decision unit that decides on the order
And a change unit configured to change the display order determined by the determination unit, when there is content among the plurality of contents, the first index value and the second index value satisfying predetermined conditions. An information processing apparatus characterized by The change unit is
When the first index value is an outlier among the plurality of contents and the second index value exceeds the predetermined threshold among the plurality of contents, the determination unit determines The information processing apparatus according to claim 1, wherein the display order of the plurality of pieces of content is changed. The determination unit is
A calculation unit that calculates a score related to the display order of the plurality of contents based on the first index value;
And a correction unit that corrects the score calculated by the calculation unit based on the second index value.
The information processing apparatus according to claim 1, wherein the display order of the plurality of contents is determined as the display order of the plurality of contents based on the score corrected by the correction unit. . The change unit is
Among the plurality of search result contents in which the plurality of contents are displayed in the display order based on the score corrected by the correction unit, the contents in which the first index value and the second index value satisfy predetermined conditions are the first The information processing apparatus according to claim 3, wherein the display order of the plurality of contents determined by the determination unit is changed so as to be displayed on the search result contents other than the search result contents. The determination unit is
In the display order of a plurality of contents, based on the second index value, the display order based on the first index value and another index value different from any of the first index value and the second index value The information processing apparatus according to any one of claims 1 to 4, characterized in that the display order in which is changed is determined as the display order of the plurality of contents. The determination unit is
A display order in which the display order is changed based on an index value indicating a degree of association between a phrase related to the content and a search query as the first index value based on the second index value. The information processing apparatus according to any one of claims 1 to 5, wherein the order is determined as the display order of the plurality of contents. The determination unit is
The display order of the plurality of contents is the display order of the plurality of contents, in which the display order is changed based on the first index value as the second index value based on the information related to the promotion of the product or service. The information processing apparatus according to any one of claims 1 to 6, wherein the information processing apparatus determines the display order.
An information processing method executed by a computer,
The display order of the plurality of contents is the display order of the plurality of contents, and the display order of the plurality of contents is changed in the display order based on the first index value based on the second index value related to the content different from the first index value related to the content A decision process to decide as a sequence,
Changing the display order determined by the determining step, when there is content among the plurality of contents, the first index value and the second index value satisfying predetermined conditions. An information processing method characterized by The display order of the plurality of contents is the display order of the plurality of contents, and the display order of the plurality of contents is changed in the display order based on the first index value based on the second index value related to the content different from the first index value related to the content Decision procedure to decide as order, and
A change procedure for changing the display order determined by the determination procedure, when there is content among the plurality of contents, the first index value and the second index value satisfying predetermined conditions; An information processing program characterized by having it run.

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