Prediction of user appreciation of items and corresponding recommendation method

摘要

Method for predicting a first user's appreciation of a first item, comprising the following steps:a) learning (10) at least a first appreciation of the first user for one second item;b) learning (10) other appreciations of other users of the plurality of items;c) clustering (14) the users into a finite number of user clusters;d) clustering (14) the plurality of items into a finite number of item clusters;e) establishing (16) a weight function that expresses statistics of a user giving a appreciation r for an item i conditioned on the user being in a user cluster t and the item being in an item cluster f;f) calculating (18,20) for each user his user profile and for each item its item profile by exchanging messages between all user-item pairs for which the appreciations are known; andg) predicting (22) the first user's appreciation of the first item.