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A METHOD AND APPARATUS FOR LEARNING USER PREFERENCE WITH PRESERVATION OF PRIVACY

机译:在保护隐私的情况下学习用户偏好的方法和装置

摘要

A method for learning user preference with preservation of privacy may comprise: collecting, with a granularity at a group level, feedback information of one or more users, wherein the feedback information of an associated user among the one or more users is related to at least one group of items offered to the associated user; learning group rating data of the one or more users from the feedback information of the one or more users, wherein the group rating data of the associated user indicates a rating of the associated user on the at least one group; and estimating item rating data of the one or more users based at least in part on the group rating data of the one or more users, wherein the item rating data of the associated user indicates preferences of the associated user on individual items comprising at least the items in the at least one group.
机译:一种用于在保护隐私的情况下学习用户偏好的方法,可以包括:以组级别的粒度收集一个或多个用户的反馈信息,其中,一个或多个用户之间的关联用户的反馈信息至少与提供给相关用户的一组项目;从一个或多个用户的反馈信息中学习一个或多个用户的分组评价数据,其中,所述关联用户的分组评价数据表示所述关联用户对至少一个分组的评价;至少部分地基于一个或多个用户的组评价数据来估计一个或多个用户的项目评价数据,其中,关联用户的项目评价数据指示关联用户对至少包括以下内容的单个项目的偏好:至少一组中的项目。

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