| 摘要 |
<p>A recommender system stores rating values for items associated with identified users and groups of users and information representing users that are part of the groups of users. A correlation module computes correlations between a first group and other groups, by retrieving the information representing users in the first group and the other groups from the group composition storage system, retrieving the information representing rating values for items from a reference set associated with the users of the first group and the other groups and computing an aggregate of correlations between the rating values for items from the reference set associated with pairs of users, each pair comprising a respective one of the users of the first group and a respective one of the users form one of the other groups. A composition module configured to compute an aggregate of parameter values for the group from parameter values, such as rating values for items, associated with the other groups, wherein the other groups that are used to compute the aggregate of parameter values are selected and/or weighted dependent on the aggregate of correlations. By aggregated correlations as a group based similarity score, the adaptability of the recommender system to group composition is increased.</p> |
