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    • 1. 发明授权
    • Push-based recommendations
    • 推荐推荐
    • US08949334B2
    • 2015-02-03
    • US13558642
    • 2012-07-26
    • Emmanouil KoukoumidisBrian BeckmanJames Anthony Whittaker
    • Emmanouil KoukoumidisBrian BeckmanJames Anthony Whittaker
    • G06F15/16
    • G06Q30/0631G06F17/30867G06Q30/0255G06Q30/0261
    • Among other things, one or more techniques and/or systems are provided for pushing a recommendation to a user. That is, a recommendation may be pushed to a device of the user based upon a triggering event associated with the user. The recommendation may be provided, for example, without user solicitation for the recommendation. In one example, a recommendation component may observe that the user frequently stops for ice cream on Fridays after work (e.g., based upon prior social network check-ins). Accordingly, on the following Friday, the recommendation component may push a recommendation to the user's device to visit a particular grocery store on the way home from work that is within 10 minutes of the user's home so that the user can avoid melting ice cream (e.g., a location constraint may be applied to choose a grocery store that is relatively close to the user's home).
    • 除其他之外,提供一个或多个技术和/或系统用于将推荐推送给用户。 也就是说,可以基于与用户相关联的触发事件将推荐推送到用户的设备。 该建议可以例如没有用户征求推荐来提供。 在一个示例中,推荐组件可以观察到,用户在工作后的星期五(例如,基于以前的社交网络登记)经常停止冰淇淋。 因此,在接下来的星期五,推荐组件可以推荐用户的设备在从用户家庭的10分钟内的工作回家的路上访问特定的杂货店,以便用户避免融化冰淇淋(例如, ,可以应用位置约束来选择相对靠近用户家的杂货店)。
    • 2. 发明申请
    • PUSH-BASED RECOMMENDATIONS
    • 基于推荐的建议
    • US20140032678A1
    • 2014-01-30
    • US13558642
    • 2012-07-26
    • Emmanouil KoukoumidisBrian BeckmanJames Anthony Whittaker
    • Emmanouil KoukoumidisBrian BeckmanJames Anthony Whittaker
    • G06F15/16
    • G06Q30/0631G06F17/30867G06Q30/0255G06Q30/0261
    • Among other things, one or more techniques and/or systems are provided for pushing a recommendation to a user. That is, a recommendation may be pushed to a device of the user based upon a triggering event associated with the user. The recommendation may be provided, for example, without user solicitation for the recommendation. In one example, a recommendation component may observe that the user frequently stops for ice cream on Fridays after work (e.g., based upon prior social network check-ins). Accordingly, on the following Friday, the recommendation component may push a recommendation to the user's device to visit a particular grocery store on the way home from work that is within 10 minutes of the user's home so that the user can avoid melting ice cream (e.g., a location constraint may be applied to choose a grocery store that is relatively close to the user's home).
    • 除其他之外,提供一个或多个技术和/或系统用于将推荐推送给用户。 也就是说,可以基于与用户相关联的触发事件将推荐推送到用户的设备。 该建议可以例如没有用户征求推荐来提供。 在一个示例中,推荐组件可以观察到,用户在工作后的星期五(例如,基于以前的社交网络登记)经常停止冰淇淋。 因此,在接下来的星期五,推荐组件可以推荐用户的设备在从用户家庭的10分钟内的工作回家的路上访问特定的杂货店,以便用户避免融化冰淇淋(例如, ,可以应用位置约束来选择相对靠近用户家的杂货店)。