Item recommendation system, item recommendation method and program
Abstract
An item recommendation system includes: a feedback receiving unit receiving feedbacks with respect to items by users; a feedback history storage unit storing information of feedbacks received at present or in the past by the feedback receiving unit in units of combinations of users and items; a relevance calculation unit calculating relevance between items base on first information indicating the degree in which the same user gives feedbacks to respective items and second information indicating the degree in which many users give feedbacks by using feedback information stored by the feedback history storage unit when receiving the feedback by the feedback receiving unit; and a recommendation unit immediately recommending items having higher relevance with respect to the item to the user who has given the feedback to the item by the feedback receiving unit based on the relevance calculated by the relevance calculation unit.
Claims
exact text as granted — not AI-modified1 . (canceled)
2 . A server system comprising:
a communication interface configured to:
receive first feedback for at least one of a plurality of items from one of a plurality of user terminals and second feedback for another at least one of the plurality of items from another one of the plurality of user terminals, and
transmit recommendation information on one or more of the plurality of items to the one of the plurality of user terminals;
a storage configured to store the first feedback and the second feedback in association with an item; and circuitry configured to:
acquire the first feedback and the second feedback from the storage;
calculate a degree of relevance between the at least one of the plurality of items and the another at least one of the plurality of items based on a temporal sequence of the first feedback and a degree of the second feedback, and
generate the recommendation information based on the degree of relevance.
3 . The server system according to claim 2 , wherein the first feedback or the second feedback includes information for at least one action of a purchase, an evaluation, and an access.
4 . The server system according to claim 2 , wherein the circuitry is configured to calculate the degree of relevance based on the temporal sequence of the first feedback, a degree of the first feedback, and the degree of second feedback.
5 . The server system according to claim 2 , wherein the first feedback and the second feedback are stored as combinations of users and items having feedback given.
6 . The server system according to claim 2 , wherein the second feedback is received and stored prior to the first feedback.
7 . The server system of claim 2 , wherein the first feedback includes access information for the at least one of the plurality of items by the one of the plurality of user terminals.
8 . The server system of claim 7 , wherein the second feedback includes access information for the other at least one of the plurality of items by the other one of the plurality of user terminals.
9 . The server system of claim 2 , wherein the circuitry is configured to assign each of the plurality of items a score based upon at least one of the first feedback and the second feedback.
10 . The server system of claim 9 , wherein the circuitry is configured to select the one or more of the plurality of items for recommendation to a user of the one of the plurality of user terminals based upon the scores.
11 . The server system of claim 10 , wherein the circuitry is configured to select the one or more of the plurality of items for recommendation to the user of the one of the plurality of user terminals having a higher score than other items of the plurality of items.
12 . A user terminal comprising:
a communication interface configured to:
transmit first feedback for at least one of a plurality of items to a server system, and
receive recommendation information on one or more of the plurality of items from the server system, the recommendation information being generated based on a degree of relevance between the at least one of the plurality of items and another at least one of the plurality of items; and
circuitry configured to:
acquire the first feedback to transmit to the server system, and
recommend the one or more of the plurality of items based on the recommendation information, wherein
the degree of relevance is calculated in the server system based on a temporal sequence of the first feedback and a degree of a second feedback acquired by the server system from another user terminal, and the first feedback is associated with the second feedback and an item.
13 . The user terminal of claim 12 , wherein the first feedback or the second feedback includes information for at least one action of a purchase, an evaluation, and an access.
14 . The user terminal of claim 12 , wherein the degree of relevance is calculated in the server system based on the temporal sequence of the first feedback, a degree of the first feedback, and the degree of the second feedback.
15 . The user terminal of claim 12 , wherein the first feedback and the second feedback are associated as combinations of users and items having feedback given.
16 . The user terminal of claim 12 , wherein the second feedback is acquired by the server system prior to transmitting the first feedback.
17 . A method comprising:
receiving, via a communication interface, first feedback for at least one of a plurality of items from one of a plurality of user terminals and second feedback for another at least one of the plurality of items from another one of the plurality of user terminals; transmitting, via the communication interface, recommendation information on one or more of the plurality of items to the one of the plurality of user terminals; storing the first feedback and the second feedback in association with an item in a storage; acquiring, via circuitry, the first feedback and the second feedback from the storage; calculating, via the circuitry, a degree of relevance between the at least one of the plurality of items and the another at least one of the plurality of items based on a temporal sequence of the first feedback and a degree of the second feedback; and generating, via the circuitry, the recommendation information based on the degree of relevance.
18 . The method according to claim 17 , wherein the first feedback or the second feedback includes information for at least one action of a purchase, an evaluation, and an access.
19 . The method according to claim 17 , wherein the calculating the degree of relevance includes calculating the degree of relevance based on the temporal sequence of the first feedback, a degree of the first feedback, and the degree of the second feedback.
20 . The method according to claim 17 , wherein the first feedback and the second feedback are stored as combinations of users and items having feedback given.
21 . The method according to claim 17 , wherein the second feedback is received and stored prior to the first feedback.Cited by (0)
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