发明名称 Recommender System Employing Subjective Properties
摘要 Example systems and methods of recommending an item are presented. In one example, preference values for items by multiple users, as well as property values for multiple properties of the items by the users, are accessed. Reference property values for the properties of the items are generated based on the property values. Average deviations from the reference property values for the properties across a first group of the items by a target user are generated. Expected property values for the properties of a second group of the items for the target user are generated based on the reference property values and the average deviations. Preference values of the target user for the second group of the items are estimated based on the expected property values. At least one of the second group of the items is recommended to the target user based on the estimated preference values.
申请公布号 US2016132954(A1) 申请公布日期 2016.05.12
申请号 US201414538315 申请日期 2014.11.11
申请人 Guckelsberger Christian;Probst Florian;Schulz Axel 发明人 Guckelsberger Christian;Probst Florian;Schulz Axel
分类号 G06Q30/06;G06Q30/02 主分类号 G06Q30/06
代理机构 代理人
主权项 1. A method of recommending an item, the method comprising: accessing preference values for a plurality of items by a plurality of users; accessing property values for multiple properties of the plurality of items by the plurality of users; generating reference property values for the multiple properties of the plurality of items based on the property values for the multiple properties; determining average deviations from the reference property values for the multiple properties across a first group of the plurality of items by a target user; generating expected property values for the multiple properties of a second group of the plurality of items by the target user based on the reference property values and the average deviations; estimating, using at least one hardware processor of a machine, preference values of the target user for the second group of the plurality of items based on the expected property values; and recommending at least one of the second group of the plurality of items to the target user based on the estimated preference values.
地址 Mainz DE