ITEM RECOMMENDATION PROGRAM, ITEM RECOMMENDATION METHOD, AND ITEM RECOMMENDATION APPARATUS

摘要

PROBLEM TO BE SOLVED: To reduce calculation load on item recommendation.SOLUTION: An item recommendation program causes a computer to execute generation processing, clustering processing, and extraction processing. The generation processing determines, for each user, a vector which indicates preference of a user with respect to each of characteristics of an item by multiplying history information of the item selected by a user by an item characteristic matrix reduced with at least one piece of group information, out of the item characteristic matrix having characteristics of each of items and group information organizing characteristics, and adds user profile to the vector, to generate a user preference characteristic vector. The clustering processing clusters users, on the basis of the user preference characteristic vectors of the users. The extraction processing aggregates history information of users belonging to each of clusters, to extract an item selected with high frequency as a recommendation item.SELECTED DRAWING: Figure 1