Behavioral filter for personalized recommendations
    1.
    发明授权
    Behavioral filter for personalized recommendations 有权
    针对个性化推荐的行为过滤器

    公开(公告)号:US08473369B2

    公开(公告)日:2013-06-25

    申请号:US13621098

    申请日:2012-09-15

    CPC classification number: G06Q30/02 G06Q30/06

    Abstract: This disclosure describes systems and associated methods that can selectively filter seed behavior, e.g., user activity used to generate item recommendations. In some embodiments, seed behaviors and catalog items are associated with categories in an electronic catalog, and a particular seed behavior is used to generate user recommendations if it is more recent than a user's last purchase in the category of the seed behavior. For example, a user's activity in the TV category, e.g., viewing various TV models, may not be used to generate recommendations if the activity occurred prior to the user's purchase of a TV. As a result, in certain embodiments, additional TVs may not appear in the user's recommendations following her purchase, reflecting that the user has fulfilled her desire to purchase a TV.

    Abstract translation: 本公开描述了可以选择性地过滤种子行为的系统和相关联的方法,例如用于生成项目建议的用户活动。 在一些实施例中,种子行为和目录项目与电子目录中的类别相关联,并且如果比用户在种子行为类别中的最后一次购买更新,则使用特定种子行为来生成用户建议。 例如,如果在用户购买电视之前发生活动,则TV类别中的用户的活动(例如,观看各种TV模型)可能不被用于产生建议。 结果,在某些实施例中,在购买之后,附加的电视可能不会出现在用户的建议中,反映了用户已经满足了她购买电视的愿望。

    BEHAVIORAL FILTER FOR PERSONALIZED RECOMMENDATIONS
    3.
    发明申请
    BEHAVIORAL FILTER FOR PERSONALIZED RECOMMENDATIONS 有权
    个性化推荐的行为过滤器

    公开(公告)号:US20130013448A1

    公开(公告)日:2013-01-10

    申请号:US13621098

    申请日:2012-09-15

    CPC classification number: G06Q30/02 G06Q30/06

    Abstract: This disclosure describes systems and associated methods that can selectively filter seed behavior, e.g., user activity used to generate item recommendations. In some embodiments, seed behaviors and catalog items are associated with categories in an electronic catalog, and a particular seed behavior is used to generate user recommendations if it is more recent than a user's last purchase in the category of the seed behavior. For example, a user's activity in the TV category, e.g., viewing various TV models, may not be used to generate recommendations if the activity occurred prior to the user's purchase of a TV. As a result, in certain embodiments, additional TVs may not appear in the user's recommendations following her purchase, reflecting that the user has fulfilled her desire to purchase a TV.

    Abstract translation: 本公开描述了可以选择性地过滤种子行为的系统和相关联的方法,例如用于生成项目建议的用户活动。 在一些实施例中,种子行为和目录项目与电子目录中的类别相关联,并且如果比用户在种子行为类别中的最后一次购买更新,则使用特定种子行为来生成用户建议。 例如,如果在用户购买电视之前发生活动,则TV类别中的用户的活动(例如,观看各种TV模型)可能不被用于产生建议。 结果,在某些实施例中,在购买之后,附加的电视可能不会出现在用户的建议中,反映了用户已经满足了她购买电视的愿望。

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