JP7178450B1 - Information processing system, information processing method and program - Google Patents

Abstract

Kind Code: A1 A technology is provided for reducing the burden of users referring to products and improving usability. An information processing system acquires an action history including at least one of a purchase history including items purchased by a user and a browsing history including items viewed by a user, and acquires an action history based on the acquired action history. select one or more items from a plurality of items as a first item by a first selection method, and select a plurality of items by a second selection method different from the first selection method based on the acquired action history select one or more items from the items of as the second item, and add the first item and the second item to the same list. [Selection drawing] Fig. 3

Description

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

For example, in selling products via the Internet, there are systems that recommend products according to user behavior.

Patent Literature 1 discloses that a product is recommended based on an action history including a user's purchase history or browsing history.

International Publication No. 2017/104064

In a site that sells products, products related to a product at a certain location are displayed as recommendation targets, and various products are also presented at other locations. For this reason, the user's burden of referring to the presented products has increased, and the convenience has decreased.

The present invention has been made in view of the above problems, and an object of the present invention is to provide a technique for reducing the burden of referring to products on the user and improving usability.

In order to solve the above problems, an information processing system according to the present invention stores an action history including at least one of a purchase history including items purchased by a user and a viewing history including items viewed by the user. history acquisition means for acquiring; first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history; second selection means for selecting one or a plurality of items from a plurality of items as a second item by a second selection method different from the first selection method based on the behavior history obtained; and listing means for adding the item of and the second item to the same list.

Further, the information processing method according to the present invention includes the step of acquiring an action history including at least one of a purchase history including items purchased by a user and a viewing history including items viewed by the user; selecting one or more items from a plurality of items as a first item by a first selection technique based on the acquired action history; and selecting the first item based on the acquired action history. selecting one or more items from a plurality of items as a second item by a second selection technique different from the selection technique; and adding the first item and the second item to the same list. and a step.

Further, the program according to the present invention includes history acquisition means for acquiring an action history including at least one of a purchase history including items purchased by a user and a viewing history including items viewed by the user; a first selection means for selecting one or a plurality of items from a plurality of items as a first item by a first selection method based on the acquired action history; A second selection means for selecting one or more items from a plurality of items as a second item by a second selection method different from the first selection method, and the first item and the second item to the same list.

In one aspect of the present invention, the information processing system may further include output means for displaying the first item and the second item included in the list at positions according to their order.

In one aspect of the present invention, the information processing system includes cart adding means for adding to the cart the one of the first item and the second item included in the list and displayed and specified by the user. May contain more.

In one aspect of the present invention, the cart adding means adds the item selected by the user from the displayed first item and the second item to the cart when a multiple add button is pressed. may be added.

In one aspect of the present invention, the first selection means selects at least one item included in the purchase history as the first item, and the second selection means selects the purchase history and the browsing history. At least one of the items different from the items included in the history may be selected as the second item.

In one form of the invention, the listing means may place the first item before the second item in the list.

In one aspect of the present invention, the information processing system further includes repurchase possibility acquisition means for acquiring repurchase possibility indicating the possibility of repurchase of the item after the item is purchased, wherein the first selection means , an item that satisfies a predetermined condition of the possibility of repurchase among the items included in the purchase history may be selected as the first item.

In one form of the present invention, the repurchase possibility acquiring means may acquire the repurchase possibility based on a past purchase date of the item by the user.

In one aspect of the present invention, the list means replaces, in the list, a second item selected based on the item included in the purchase history with a second item selected based on the item included in the browsing history. may be placed before items with

In one aspect of the present invention, the first selection means selects at least one of the items included in the purchase history of the store accessed by the user as the first item, and selects the second item. The selection means may select at least one item as the second item from items different from items included in the purchase history of the store.

In one aspect of the present invention, the first selection means selects at least one item as the first item based on a genre of items included in a browsing history of the store accessed by the user. , the second selection means may select at least one item as the second item based on items included in the browsing history of the store.

In one aspect of the present invention, the first selection means selects at least one item as the first item based on a purchase history at a store other than the store accessed by the user, The second selection means may select at least one item as the second item based on the browsing history of the user at the other store.

In one aspect of the present invention, the first selection means selects at least one item from among items included in a purchase history or a browsing history at a store different from the store accessed by the user. items, and the second selection means may select at least one item as the second item based on the purchase history or the browsing history of the user at the other store.

According to the present invention, it is possible to reduce the user's burden of referring to products and improve usability.

It is a figure which shows the hardware constitutions of the information processing system concerning embodiment of this invention. 1 is a block diagram showing functions realized by an information processing system; FIG. FIG. 10 is a flow diagram showing an example of processing of an overall history acquisition unit, a related genre determination unit, a related item determination unit, and a repurchase possibility acquisition unit; It is a figure which shows an example of the process regarding sales to a user. It is a figure which shows an example of the process regarding sales to a user. It is a figure which shows an example of the process regarding sales to a user. It is a figure which shows an example of the process of a genre utilization part. It is a figure which shows an example of a process of an item utilization part. It is a figure which shows an example of the relationship between the purchase history in the store S, and the item added to a list. 4 is a diagram showing an example of the relationship between purchase histories and browsing histories in a store S and items added to a list. FIG. It is a figure which shows an example of the relationship between purchase history, browsing history, and the item added to a list. It is a figure which shows an example of the proposal screen output. FIG. 10 is a diagram showing an example of a proposal screen after an item has been added to the cart;

Embodiments of the present invention will be described below with reference to the drawings. Duplicate descriptions are omitted with respect to the components denoted by the same reference numerals. In this embodiment, an information processing system that realizes electronic commerce by a plurality of stores will be described. This information processing system proposes products as items to a user who has accessed a certain store.

FIG. 1 is a diagram showing an example of an information processing system according to an embodiment of the present invention. The information processing system includes an information processing server 1 and a client device 2 . An information processing server 1 is connected to one or more client devices 2 via a network.

The information processing server 1 includes a processor 11 , a storage unit 12 , a communication unit 13 and an input/output unit 14 . The information processing server 1 is a server computer. The processing of the information processing server 1 may be realized by a plurality of server computers. The client device 2 includes a processor 21 , a storage section 22 , a communication section 23 and an input/output section 24 . The client device 2 is a personal computer, smart phone, or tablet terminal.

Processors 11 and 21 operate according to programs stored in storage units 12 and 22 . The processors 11 and 21 also control the communication units 13 and 23 and the input/output units 14 and 24, respectively. The program may be provided via the Internet or the like, or may be provided by being stored in a computer-readable storage medium such as a flash memory or a DVD-ROM. .

The storage units 12 and 22 are composed of memory devices such as RAMs and flash memories, and external storage devices such as hard disk drives. Storage units 12 and 22 store the above programs. The storage units 12 and 22 store information and calculation results input from the processors 11 and 21, the communication units 13 and 23, and the input/output units 14 and 24, respectively.

The communication units 13 and 23 realize a function of communicating with other devices, and are composed of integrated circuits or the like that realize a wireless LAN or a wired LAN, for example. Under the control of processors 11 and 21, communication units 13 and 23 input information received from other devices to processors 11 and 21 and storage units 12 and 22, and transmit information to other devices.

The input/output units 14 and 24 are composed of a video controller that controls the display output device, a controller that acquires data from the input device, and the like. Input devices include keyboards, mice, and touch panels. The input/output units 14 and 24 output display data to display output devices under the control of the processors 11 and 21, and acquire data input by user's operation of the input devices. A display output device is, for example, a display device connected to the outside.

Next, functions provided by the information processing system will be described. FIG. 2 is a block diagram showing functions realized by the information processing system. The information processing system functionally includes an overall history acquisition unit 51, a related genre determination unit 52, a related item determination unit 53, a repurchase possibility acquisition unit 54, a user history acquisition unit 55, a repurchase candidate acquisition unit 56, a related candidate It includes an acquisition unit 57 , a list addition unit 58 , an output unit 59 and a cart control unit 60 . These functions are mainly realized by executing a program stored in the storage unit 12 by the processor 11 included in the information processing server 1 and controlling the communication unit 13 and the like. Further, part of the functions of the output unit 59 may be realized by executing a program stored in the storage unit 22 by the processor 21 included in the client device 2 and controlling the communication unit 23 and the input/output unit 24. . Related candidate acquisition portion 57 functionally includes a genre use portion 61 and an item use portion 62 . Functionally, the genre usage section 61 includes a genre selection section 66 and an item selection section 67 , and the item usage section 62 includes an item selection section 69 .

Overall history acquisition unit 51 acquires at least one of the purchase history and the browsing history. Each purchase history includes information indicating the user who made the purchase and a combination of items purchased together. Each viewing history includes information indicating the viewing user and a combination of items viewed together. For example, items viewed within a predetermined period (for example, on the same day) may be items viewed together. Purchase histories and browsing histories are stored in the storage unit 12 for a plurality of users, for example all users, who use the information processing system. Overall history acquisition unit 51 may acquire all of the purchase history and browsing history stored in storage unit 12, or may acquire the purchase history and browsing history of a specific store.

The related genre determination unit 52 determines a set of multiple related genres based on the genres to which the items constituting the multiple combinations included in the acquired multiple purchase histories or multiple browsing histories belong.

The related item determining unit 53 determines a set of mutually related items based on the items constituting the plurality of combinations included in the acquired purchase histories or browsing histories.

The repurchase possibility acquisition unit 54 calculates the repurchase possibility for each item based on the acquired purchase history.

User history acquisition unit 55 acquires an action history including at least one of a purchase history including items purchased by a certain user and a viewing history including items viewed by the user.

The repurchase candidate acquisition unit 56 selects at least one of the items included in the purchase history of the user as a repurchase candidate.

Related candidate acquisition unit 57 selects at least one of items different from items included in the purchase history and browsing history of the user as a related candidate. The method of acquiring items as repurchase candidates in the repurchase candidate acquiring unit 56 is different from the method of selecting items as related candidates by the related candidate acquiring unit 57 .

The genre utilization unit 61 included in the related candidate acquisition unit 57 selects a genre related to the genre to which the item purchased or browsed by the user belongs, and selects one of the items belonging to the selected genre as a related item to be recommended. Get as a candidate.

A genre selection unit 66 included in the genre use unit 61 selects a related genre, which is a genre related to the genre to which the item purchased or browsed by the user belongs, based on the acquired set.

The item selection unit 67 included in the genre use unit 61 acquires one of the items included in the selected genre as a related candidate to be recommended. More specifically, the item selection unit 67 acquires, as a related candidate, the item that has been purchased or browsed the most among the items belonging to the selected genre. The item selection unit 67 may acquire items for which sales have started within a predetermined period of time as related candidates. Here, the predetermined period may be a period of the past month, one week, or the like.

The item utilization unit 62 included in the related candidate acquisition unit 57 selects an item related to the item purchased or browsed by the user, and acquires the selected item as a related candidate to be recommended.

The item selection unit 69 included in the item utilization unit 62 acquires items related to the item purchased or browsed by the user as related candidates based on the acquired set.

List addition unit 58 adds the selected repurchase candidate and related candidate to the list. The list addition unit 58 adds repurchase candidates and related candidates to the list so that repurchase candidates come before related candidates.

The output unit 59 displays an image in which the items included in the list are arranged at positions according to the order. When the output unit 59 is composed only of the information processing server 1 , image data is transmitted to the client device 2 and displayed. If the output unit 59 also includes the client device 2 , the image is displayed on the display device of the client device 2 .

The cart control unit 60 adds the items indicated by the user among the items included in the list and displayed to the cart.

Next, the details of the processing of the information processing system will be described. FIG. 3 is a flowchart showing an example of the processing of the overall history acquisition unit 51, the related genre determination unit 52, the related item determination unit 53, and the repurchase possibility acquisition unit 54. As shown in FIG. The processing shown in FIG. 3 may be performed once in advance, but may be performed repeatedly at predetermined intervals, for example.

First, the overall history acquisition unit 51 acquires purchase histories and browsing histories of a plurality of users (step S101). The overall history acquisition unit 51 may acquire purchase histories and browsing histories stored in the storage unit 12 for a certain store regardless of the user. Stored purchase history and browsing history may be retrieved. Also, the acquired purchase history and browsing history may be purchase history and browsing history in the past year.

Next, the related genre determining unit 52 extracts combinations of items purchased together from the acquired purchase history, and extracts combinations of items viewed together from the acquired browsing history (step S102). Then, the related genre determining unit 52 acquires the genre to which each of the items included in the extracted combination belongs (step S103). Strictly speaking, the genres may have a hierarchical structure, and the related genre determination unit 52 may acquire the genre of the lowest hierarchy (the third hierarchy when the genre has three hierarchies). The genre used here may be a genre in a certain store, or may be a genre common to all stores.

Then, the related genre determining unit 52 determines a set of mutually related genres based on the genre to which each of the items included in the combination belongs (step S104). The related genre determining unit 52 aggregates the genre sets to which the items included in the combination belong, and determines mutually related genre sets based on the aggregated number of genre sets. For example, when the total number of genre sets is greater than a threshold, the related genre determining unit 52 may determine the genre set as a mutually related genre set.

Also, the related item determining unit 53 determines a set of mutually related items based on the items included in the extracted combination (step S105). For example, the related item determination unit 53 may count the number of appearances of combinations and determine a set of mutually related items based on the counted number. For example, when the counted number of appearances of a combination is greater than a threshold, the related item determination unit 53 may determine items included in the combination as a set of mutually related items.

Note that the related genre determination unit 52 determines, as a set of related genres, a set of genres to which each of the items included in the set belongs, for the set of related items determined by the related item determination unit 53. You may

The repurchase possibility acquisition unit 54 also calculates the repurchase possibility for each item (step S106). For example, the repurchase possibility may be a repurchase rate, which is the ratio of users who purchased the item multiple times among the users who purchased the item to be calculated. Note that the repurchase possibility acquisition unit 54 may store an item with a calculated repurchase possibility greater than a threshold value, which is a predetermined condition, in the storage unit 12 as an item with a high repurchase possibility.

The repurchase probability may also be predicted using a learning model. The repurchase possibility acquisition unit 54 acquires the repurchase possibility based on the past purchase date of the item by the user. Specifically, the re-purchase possibility acquisition unit 54 acquires the re-purchase possibility of an item using a learning model that outputs the re-purchase possibility of the item with the past purchase date of the item as input. The learning model is generated by supervised machine learning, using a well-known machine learning algorithm such as a neural network to learn the relationship between the past purchase date of the item purchased by the user and whether or not the user has repurchased it as teacher data. be done. The repurchase possibility acquisition unit 54 may store, among the items included in the purchase history of the user, an item that satisfies a predetermined condition for repurchase possibility in the storage unit 12 as an item with a high repurchase possibility. . For example, when the learning model outputs the repurchase probability as a numerical value, an item whose repurchase probability is greater than a threshold, which is a predetermined condition, may be regarded as an item with a high repurchase probability. Further, when the learning model outputs the possibility of repurchase as the presence or absence of the possibility of repurchase, an item for which the possibility of repurchase satisfies a predetermined condition may be set as an item with a high possibility of repurchase.

There is a certain relationship between the past purchase date of an item and the repurchasability. For example, an item that the user recently purchased or an item that the user purchased a long time ago tends to be less likely to be repurchased because the user's current purchase motivation is low. On the other hand, items regularly purchased by the user tend to be highly likely to be purchased again at the next purchase time. By using a learning model that learns the past purchase date of an item and whether or not it has been purchased again, it is possible to determine the possibility of the user's repurchase with high accuracy.

Input data for the learning model is not limited to past purchase dates of items. For example, the input data may be repurchase rates. This makes it possible to make a prediction that reflects the repurchase record for each item. For example, the input data may be the number of past purchases of the item by the user. As a result, it is possible to make a prediction that reflects the purchase record of items for each user. For example, the input data may be the number of previous item purchases made by the user. This makes it possible to make a prediction that reflects the period between the time of the previous purchase and the time of the next purchase, which changes according to the number of previous item purchases. For example, the input data may be the price of the item. This allows predictions to reflect the price of items such that higher priced items are less likely to be repurchased. For example, the input data may be the repurchase rate of the genre to which the item belongs. As a result, it is possible to make predictions that reflect the repurchase rate of the genre, which is correlated with the repurchase rate of the item, even for items with few purchase records. A plurality of pieces of the input data may be used as input data for the learning model. By using a learning model that learns the relationship between the input data and the presence or absence of repurchases by the user as teacher data, it is possible to determine the repurchase possibility of the user with high accuracy.

Next, the processing when the user accesses the sales page of a store in the information processing system will be described. 4 to 6 are diagrams showing an example of processing related to sales to users. 4 to 6 show an overview of the processing of the user history acquisition unit 55, repurchase candidate acquisition unit 56, related candidate acquisition unit 57, list addition unit 58, output unit 59, and cart control unit 60. FIG.

First, the user history acquisition unit 55 identifies a user who has accessed the information processing server 1 (step S201), and acquires the purchase history and browsing history of the store accessed by the user (step S202).

If the purchase history has been acquired (Y in step S203), the repurchase candidate acquiring unit 56 selects items with a high repurchase possibility from among the items included in the acquired purchase history as repurchase candidates. , the list adding unit 58 adds the selected item to the list (step S204). Further, the genre utilization section 61 included in the related candidate acquisition section 57 selects candidate items from a plurality of items handled by this store based on the purchase history and the related genre, and the list addition section 58 selects the selected candidate items. Add to the list (step S205). The item utilization unit 62 included in the related candidate acquisition unit 57 selects candidate items from a plurality of items handled by this store based on the purchase history and related items, and the list addition unit 58 adds the selected candidate items to the list. Add (step S206). Here, the list addition unit 58 adds items so that the order of the item added in step S204 is higher than the order of the items added in steps S205 and S206. After the processing of steps S204 to S206 is performed, the processing transitions to step S219.

The processing of step S205 will be specifically described. FIG. 7 is a diagram showing an example of processing of the genre utilization unit 61. As shown in FIG. First, the genre selection unit 66 included in the genre utilization unit 61 acquires the genre of each item included in the action history including the purchase history or the viewing history (step S301). For example, in step S205, the action history is the purchase history. Then, the genre selection unit 66 selects genres related to the acquired genre (related genres) based on the set of mutually related genres determined by the related genre determination unit 52 (step S302).

The item selection unit 67 selects the item with the highest rank among the items belonging to the related genre and handled in this store as a candidate item (step S303). The ranking may be set based on sales volume or sales amount in the genre. In addition, the item selection unit 67 deletes items that overlap items selected from other action histories from the selected items (step S304). Further, the item selection unit 67 selects an item in stock from among the selected items as a candidate item (step S305), and the list addition unit 58 adds the candidate item to the list.

The processing of step S206 will also be described. FIG. 8 is a diagram showing an example of processing of the item utilization unit 62. As shown in FIG. First, the item selection unit 69 included in the item utilization unit 62 associates each item included in the action history based on the set of mutually related items determined by the related item determination unit 53, and determines this item. The item handled at the store is selected (step S401). The item selection unit 69 deletes duplicate items from the selected items (step S402), and selects items in stock among the selected items as candidate items (step S403). The list addition unit 58 adds candidate items to the list.

Here, if the purchase history is not acquired in step S202 (N in step S203), the process proceeds to step S207.

When the browsing history is acquired (Y in step S207), the genre utilization unit 61 included in the related candidate acquiring unit 57 selects items as candidate items based on the browsing history and the related genre, and adds the items to the list adding unit. 58 adds the selected candidate item to the list (step S208). The details of step S208 are the browsing history as the action history in the process shown in FIG. Item utilization unit 62 included in related candidate acquisition unit 57 selects items as candidate items based on the browsing history and related items, and list addition unit 58 adds the selected candidate items to the list (step S209). . The details of the process of step S209 are those in which the action history is set to the browsing history in the process shown in FIG. After the processing of steps S208 and S209 is performed, the processing transitions to step S219.

Here, if the browsing history is not acquired in step S202 (N in step S207), the process proceeds to step S210.

The processing from step S210 to step S217 is performed when there is no purchase history or browsing history at the store accessed by the user.

In step S210, the user history acquisition unit 55 acquires the user's purchase history and browsing history at other stores (step S210). Here, if neither purchase history nor browsing history could be acquired (N in step S211), recommendations based on the purchase history and browsing history cannot be made. The items included in the ranking are added to the list (step S212).

On the other hand, if a purchase history has been acquired (Y in step S211 and Y in step S213), genre utilization unit 61 included in related candidate acquisition unit 57 selects a purchase history based on the purchase history at another store and the related genre. Then, a candidate item is selected from the items handled by this store, and the selected candidate item is added to the list (step S215). The processing of step S215 is the processing shown in FIG. 7 in which the action history is the purchase history at another store. If the purchase history has not been acquired (Y in step S211 and N in step S213), step S215 is skipped.

When the browsing history is acquired (Y in step S211 and Y in step S216), the genre utilization unit 61 included in the related candidate acquisition unit 57 selects the related category based on the browsing history at other stores and the related genre. , selects a candidate item from the items handled by this store, and adds the selected candidate item to the list (step S217). The process of step S217 is the action history of the process shown in FIG. 7 that is the browsing history of other stores. If the browsing history has not been acquired (Y in step S211 and N in step S216), step S217 is skipped and the process proceeds to step S219.

A specific example of items added to the list in steps S202 to S217 will now be described.

FIG. 9 is a diagram showing an example of the relationship between the purchase history in the store S and the items added to the list. Store S is assumed to be the store accessed by the user. In the case shown in FIG. 9, there is a purchase history of this user at store S, and the items included in the purchase history are kitchen towel A, tissue paper B, disposable diaper C, and mineral water D. The list includes items acquired by the repurchase candidate acquiring unit 56 (corresponding to the first selection method), such as kitchen towel A, tissue paper B, and paper diaper C (see “Proposal for repurchase” in FIG. 9), Powdered milk E, baby food F, and thermos bottle G, which are items selected by the genre utilization unit 61 included in the related candidate acquisition unit 57 (corresponding to the second selection method) (see “Proposal by related genre” in FIG. 9) , mineral water H and mineral water J, which are items selected by the item use unit 62 included in the related candidate acquisition unit 57 (corresponding to the second selection method), 12 sets of mineral water H and mineral water J (see “Proposal by Related Items”). include. It is also assumed that the items at the top in FIG. 9 have a higher rank.

Kitchen towel A, tissue paper B, and paper diaper C added to the list are items included in the user's purchase history at the store S and are highly likely to be repurchased. Mineral water D, which has a low repurchase probability, is not added to the list.

The paper diaper C belongs to the category of "paper diaper", and the powdered milk E, baby food F, and thermos bottle G belong to the categories of "powder milk," "baby food," and "baby products," respectively. The genre of "paper diapers" and the genres of "powder milk", "baby food", and "infant products" are related to each other. Powdered milk E, baby food F, and thermos bottle G, which are the highest ranked items in each category, are selected as candidates for proposal. Here, the genre utilization unit 61 does not select an item as a candidate if the item with the highest rank is out of stock. In this case, the genre utilization unit 61 may select the item with the highest rank among the items in stock as a candidate. Further, the item utilization unit 62 of the related candidate acquisition unit 57 selects the set of 12 bottles of mineral water H and mineral water J related to mineral water D as candidates to propose. Here, the item utilization unit 62 does not select items out of stock as candidates.

By selecting suggested items based on related genres as well as related items, the range of items suggested to the user is expanded, and the suggested items may be more appropriate for the user's situation. becomes higher. As a result, it is possible to increase the possibility that the item will be purchased, reduce the user's trouble of searching for the item, and improve usability. In addition, the information processing server to which the items purchased or browsed by the user are input automatically outputs suggested items by referring to a set including a plurality of related genres. As a result, items to be proposed to the user can be acquired at high speed and with high accuracy. Also, since the number of genres is smaller than the number of items, the amount of data processed by the information processing server can be reduced, and the processing load can be reduced.

FIG. 10 is a diagram showing an example of the relationship between the purchase history and browsing history in the store S and the items added to the list. In the case shown in FIG. 10, there is no purchase history of this user at the store S, but there is a browsing history. Items included in the browsing history are coffee K and makeup remover L. Since the genre "makeup remover" to which makeup remover L belongs and the genre "sunscreen" to which sunscreen O belongs are related to each other, candidate items are selected in this manner. In this case as well, two methods (first selection method and second 2 selection method) is performed. In addition, even when the user's purchase history exists in the store S, candidates may be selected based on the browsing history.

FIG. 11 is a diagram showing an example of the relationship between purchase histories, browsing histories, and items added to the list. In the case shown in FIG. 11, neither the purchase history nor the browsing history of this user exists at the store S, but the purchase history and the browsing history at other stores exist. The purchase history at other stores includes disposable diapers C, and the browsing history includes makeup remover L. In this case, the genre utilization unit 61 of the related candidate acquisition unit 57 selects candidates by two selection methods: candidate selection based on the purchase history and candidate selection based on the viewing history. Note that even if the user's purchase history or browsing history exists at the store S, candidates may be selected based on the purchase history or browsing history at another store.

The information processing server 1 can select candidate items in the store S by various selection methods based on purchase histories or browsing histories in other stores. For example, when the store S handles items included in the user's purchase history or browsing history at another store, the same item as the item included in the user's purchase history or browsing history at the other store is selected as a candidate item at the store S. You may choose. At this time, among items included in the user's purchase history at other stores, items with a high possibility of repurchasing may be selected as candidate items for the store S. For example, the genre utilization unit 61 included in the related candidate acquisition unit 57 may select candidate items in the store S according to related genres based on the user's purchase history or browsing history in other stores. For example, the item utilization unit 62 included in the related candidate acquisition unit 57 may select candidate items in the store S based on mutually related items based on the user's purchase history or browsing history in other stores.

At the store that the user is visiting, candidate items are selected based on the user's purchase history or browsing history at other stores, thereby proposing appropriate items that take into account the user's purchase history or browsing history at other stores. can do. As a result, it is possible to increase the possibility that the item will be purchased, reduce the user's trouble of searching for the item, and improve usability.

In step S<b>219 , the output unit 59 causes the display device of the client device 2 or connected to the client device 2 to output the proposal screen including the list. Here, the output unit 59 outputs the proposal screen so that the candidate items included in the list are arranged at positions according to the order. For example, the proposal screen is a screen displayed on the web page of the store accessed by the user.

FIG. 12 is a diagram showing an example of the output proposal screen. A multiple addition button 81 and a register button 84 are arranged on the proposal screen, and a plurality of items included in the list are arranged. Each item is arranged with an individual addition button 82 and a check box 83 .

The individual addition button 82 is a button for the user to give an instruction to add the corresponding item to the cart. The check box 83 is a button for checking the corresponding item, and the multiple add button 81 is a button for instructing to add the item corresponding to the checked check box 83 to the cart when pressed. be. The register button 84 is a button for instructing the start of purchase processing for the item added to the cart. When either the individual addition button 82 or the register button 84 is pressed, the client device 2 transmits information indicating that fact to the information processing server 1 . When the multiple addition button 81 is pressed, the client device 2 transmits information indicating that the button has been pressed to the information processing server 1 together with information indicating the item corresponding to the check box 83 that was checked when the button was pressed. .

The suggestion screen aggregates candidate items that have been selected in multiple ways and added to the same list, such as repurchase candidates and candidates based on related genres. As a result, since the parts referred to by the user are grouped together, it is possible to reduce the burden of referring to the product. Further, the information processing server transmits candidate items selected by a plurality of methods to the client device as data of the same list instead of data of different lists. As a result, the amount of data transmitted from the information processing server to the client device can be reduced, thereby reducing the communication load and speeding up the display processing of the proposal screen on the client device.

Steps S221 to S229 are processing when the user operates the proposal screen. The processing will be described below.

In step S221, the cart control unit 60 determines whether the individual addition button 82 has been pressed by the user. When the individual addition button 82 is pressed (Y in step S221), the cart control unit 60 adds the item corresponding to the pressed individual addition button 82 to the cart (step S222). Then, the process proceeds to step S225, and the output unit 59 changes the individual addition button 82 of the item added to the cart to the quantity input field 85 (see FIG. 13). The change to the quantity input field 85 may be realized by the client device 2 executing the program transmitted together with the data of the proposal screen and replacing the displayed individual addition button 82 with the quantity input field 85. The information processing server 1 may transmit the data of the proposal screen in which the individual addition button 82 is replaced with the quantity input field 85 to the client device 2, and the client device 2 may display the proposal screen.

FIG. 13 is a diagram illustrating an example of a proposal screen after items have been added to the cart. The example of FIG. 13 shows that when the individual addition button 82 is pressed for the upper left item among the items proposed in FIG.

If the individual add button 82 has not been pressed (N in step S221), the cart control unit 60 determines whether the multiple add button 81 has been pressed (step S223). When the multiple addition button 81 is pressed (Y in step S223), the cart control unit 60 adds the item with the corresponding check box 83 checked to the cart (step S224). Then, in step S225, the output unit 59 changes the individual addition button 82 of the item added to the cart to the quantity input field 85. FIG.

After the process of step S225 is performed, the processes after step S221 are repeated.

On the other hand, if the multiple addition button 81 has not been pressed (N in step S223), the cart control unit 60 determines whether the quantity input field 85 has been changed (step S226). If the quantity input field 85 is changed (Y in step S226), the cart control unit 60 changes the quantity in the cart of the item corresponding to the changed quantity input field 85 (step S227). After that, the processing after step S221 is repeated.

If the quantity input field 85 has not been changed (N in step S226), the cart control unit 60 determines whether the register button 84 has been pressed (step S228). When the register button 84 is pressed (Y in step S228), the cart control unit 60 executes processing related to purchase of items in the cart, more specifically, processing related to payment and delivery (step S229). . On the other hand, if the register button 84 has not been pressed (N in step S228), the processes after step S221 are repeated.

Although embodiments of the invention have been described, application of the invention is not necessarily limited to these embodiments. For example, an item may be not only a physical product for sale, but also content transmitted as data.

1 information processing server, 2 client device, 11, 21 processor, 12, 22 storage unit, 13, 23 communication unit, 14, 24 input/output unit, 51 overall history acquisition unit, 52 related genre determination unit, 53 related item determination unit , 54 repurchase possibility acquisition unit, 55 user history acquisition unit, 56 repurchase candidate acquisition unit, 57 related candidate acquisition unit, 58 list addition unit, 59 output unit, 60 cart control unit, 61 genre use unit, 62 item use Section 66 Genre selection section 67, 69 Item selection section 81 Multiple addition button 82 Individual addition button 83 Check box 84 Register button 85 Quantity input field.

Claims (20)

history acquisition means for acquiring an action history including a purchase history including items purchased by a user and a viewing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection method different from the first selection method based on the acquired action history;
listing means for adding the first item and the second item to the same list as suggested items ;
including
The first selection means selects at least one item included in the purchase history as the first item,
The second selection means selects, as the second item, at least one of items different from items included in the purchase history and the browsing history.
Information processing system. In the information processing system according to claim 1,
further comprising an output means for displaying the first item and the second item included in the list at positions according to their order;
Information processing system. In the information processing system according to claim 2,
further comprising cart adding means for adding to a cart one of the first item and the second item included in the list and displayed and indicated by the user;
Information processing system. In the information processing system according to claim 3,
The cart adding means adds the item selected by the user from the displayed first item and the second item to the cart when a multiple add button is pressed.
Information processing system. In the information processing system according to any one of claims 1 to 4 ,
the listing means places the first item before the second item in the list;
Information processing system. In the information processing system according to any one of claims 1 to 5 ,
further comprising repurchase possibility acquiring means for acquiring repurchase possibility indicating the possibility of repurchasing the item after it has been purchased;
The first selection means selects, as the first item, items included in the purchase history that satisfy a predetermined condition for the possibility of repurchase.
Information processing system. In the information processing system according to claim 6 ,
The information processing system, wherein the re-purchase possibility acquisition means acquires the re-purchase possibility based on a past purchase date of the item by the user. In the information processing system according to any one of claims 1 to 7 ,
The list means arranges, in the list, a second item selected based on the item included in the purchase history before a second item selected based on the item included in the browsing history. ,
Information processing system. In the information processing system according to any one of claims 1 to 8 ,
The first selection means selects, as the first item, at least one item included in a purchase history of the store accessed by the user,
The second selection means selects, as the second item, at least one item from items different from items included in the purchase history of the store.
Information processing system. history acquisition means for acquiring an action history including a purchase history including items purchased by a user and a viewing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection method different from the first selection method based on the acquired action history;
listing means for adding the first item and the second item to the same list as suggested items;
including
The first selection means selects at least one item as the first item based on a genre of items included in a browsing history of the store accessed by the user;
The second selection means selects at least one item as the second item based on items included in the browsing history of the store.
Information processing system. history acquisition means for acquiring an action history including a purchase history including items purchased by a user and a viewing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection method different from the first selection method based on the acquired action history;
listing means for adding the first item and the second item to the same list as suggested items;
including
The first selection means selects at least one item as the first item based on a purchase history at a store other than the store accessed by the user;
The second selection means selects at least one item as the second item based on the browsing history of the user at the other store.
Information processing system. history acquisition means for acquiring an action history including at least one of a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection method different from the first selection method based on the acquired action history;
listing means for adding the first item and the second item to the same list as suggested items;
including
The first selection means selects, as the first item, at least one item included in a purchase history or a browsing history at a store different from the store accessed by the user, and
The second selection means selects at least one item as the second item based on the purchase history or the browsing history of the user at the other store.
Information processing system. a computer acquiring an action history including a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a step in which the computer selects one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a step in which the computer selects one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
the computer adding the first item and the second item to the same list as suggested items ;
including
In the step of selecting the first item, at least one item included in the purchase history is selected as the first item;
In the step of selecting the second item, at least one of items different from items included in the purchase history and browsing history is selected as the second item.
Information processing methods. a computer acquiring an action history including a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a step in which the computer selects one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a step in which the computer selects one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
the computer adding the first item and the second item to the same list as suggested items;
including
In the step of selecting the first item, at least one item is selected as the first item based on the genre of items included in the browsing history of the store accessed by the user;
In the step of selecting the second item, at least one item is selected as the second item based on items included in the browsing history of the store.
Information processing methods. a computer acquiring an action history including a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a step in which the computer selects one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a step in which the computer selects one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
the computer adding the first item and the second item to the same list as suggested items;
including
In the step of selecting the first item, at least one item is selected as the first item based on a purchase history at a store other than the store accessed by the user;
In the step of selecting the second item, at least one item is selected as the second item based on the browsing history of the user at the other store;
Information processing methods. a computer obtaining an action history including at least one of a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a step in which the computer selects one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a step in which the computer selects one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
the computer adding the first item and the second item to the same list as suggested items;
including
In the step of selecting the first item, at least one item is selected as the first item from items included in a purchase history or a browsing history at a store different from the store accessed by the user. ,
In the step of selecting the second item, at least one item is selected as the second item based on the purchase history or the browsing history of the user at the other store;
Information processing methods. History acquisition means for acquiring an action history including a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
list means for adding the first item and the second item to the same list as suggested items ;
make the computer function as
The first selection means selects at least one item included in the purchase history as the first item,
The second selection means selects, as the second item, at least one of items different from items included in the purchase history and the browsing history.
program. History acquisition means for acquiring an action history including a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
list means for adding the first item and the second item to the same list as suggested items;
make the computer function as
The first selection means selects at least one item as the first item based on a genre of items included in a browsing history of the store accessed by the user;
The second selection means selects at least one item as the second item based on items included in the browsing history of the store.
program. History acquisition means for acquiring an action history including a purchase history including items purchased by a user and a browsing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
list means for adding the first item and the second item to the same list as suggested items;
make the computer function as
The first selection means selects at least one item as the first item based on a purchase history at a store other than the store accessed by the user;
The second selection means selects at least one item as the second item based on the browsing history of the user at the other store.
program. History acquisition means for acquiring an action history including at least one of a purchase history including items purchased by the user and a browsing history including items viewed by the user;
a first selection means for selecting one or more items from a plurality of items as a first item by a first selection method based on the acquired action history;
a second selection means for selecting one or more items from a plurality of items as a second item by a second selection technique different from the first selection technique, based on the acquired action history;
list means for adding the first item and the second item to the same list as suggested items;
make the computer function as
The first selection means selects, as the first item, at least one item included in a purchase history or a browsing history at a store different from the store accessed by the user, and
The second selection means selects at least one item as the second item based on the purchase history or the browsing history of the user at the other store.
program.

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