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    • 2. 发明申请
    • RECOMMENDING CONTENT INFORMATION BASED ON USER BEHAVIOR
    • 基于用户行为的推荐内容信息
    • WO2013025813A2
    • 2013-02-21
    • PCT/US2012/050961
    • 2012-08-15
    • ALIBABA GROUP HOLDING LIMITEDGU, XiangyuFU, QileZU, ZhonglinNING, Wei
    • GU, XiangyuFU, QileZU, ZhonglinNING, Wei
    • G06F17/30
    • G06Q30/0631G06F17/30029G06Q30/0201G06Q30/0282
    • 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.
    • 内容推荐包括:在一段时间内由多个用户确定与多个用户行为有关的多个用户行为类别,以及与该多个用户行为类别对应的多个用户行为频率; 确定用户行为类别的数量是否超过预设类别阈值; 在用户行为类别的数量超过预设阈值的情况下,排除一个或多个用户行为类别,使得剩余用户行为类别的数量不超过预设阈值; 至少基于所述剩余用户行为类别和对应的用户行为频率来确定用户偏好数据,所述用户偏好数据包括所述剩余用户行为类别中的用户行为所针对的多条内容信息的频率分布信息; 并且基于用户偏好数据向用户推荐内容信息。