发明名称 |
Recommending content information based on user behavior |
摘要 |
Content recommendation includes: determining a plurality of user behavior categories pertaining to a plurality of user behaviors by a plurality of users within a period of time, and a plurality of user behavior frequencies corresponding to the plurality of user behavior categories; determining whether the number of user behavior categories exceeds a preset category threshold; in the event that the number of user behavior categories exceeds the preset threshold, excluding one or more user behavior categories such that the number of remaining user behavior categories does not exceed the preset threshold; determining, based at least on the remaining user behavior categories and corresponding user behavior frequencies, user preference data comprising frequency distribution information of a plurality of pieces of content information targeted by user behaviors in the remaining user behavior categories; and recommending content information to a user based on the user preference data. |
申请公布号 |
US8843484(B2) |
申请公布日期 |
2014.09.23 |
申请号 |
US201213585552 |
申请日期 |
2012.08.14 |
申请人 |
Alibaba Group Holding Limited |
发明人 |
Gu Xiangyu;Fu Qile;Zu Zhonglin;Ning Wei |
分类号 |
G06F7/00;G06F17/30;G06Q30/02 |
主分类号 |
G06F7/00 |
代理机构 |
Van Pelt, Yi & James LLP |
代理人 |
Van Pelt, Yi & James LLP |
主权项 |
1. A content recommendation system, comprising:
one or more computer processors to:
determine a plurality of user behavior categories pertaining to a plurality of user behaviors within a preset time period, and a plurality of user behavior frequencies corresponding to the plurality of user behavior categories;determine whether a number of the plurality of user behavior categories exceeds a preset category threshold;in the event that the number of the plurality of user behavior categories exceeds the preset threshold, exclude one or more user behavior categories such that a number of remaining user behavior categories does not exceed the preset threshold;determine, based at least on the remaining user behavior categories and corresponding user behavior frequencies, user preference data comprising frequency distribution information of a plurality of pieces of content information targeted by user behaviors in the remaining user behavior categories; andrecommend content information to a user based at least in part on the user preference data; and one or more memories coupled to the one or more processors, configured to provide the one or more processors with instructions. |
地址 |
KY |