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    • 1. 发明授权
    • Inferring attribute and item preferences
    • 推断属性和项目首选项
    • US09195945B2
    • 2015-11-24
    • US13793650
    • 2013-03-11
    • GENERAL INSTRUMENT CORPORATION
    • Jianguo LiuMir F. AliPaul C. DavisGuohua Hao
    • G06N5/04
    • G06N5/04G06F17/30029G06F17/30761G06F17/30766G06F17/30828G06Q30/02
    • User-preference datapoints are collected. At least some of these datapoints are associated with user-preference information about an item (e.g., a movie), and some of these datapoints are associated with user-preference information about an attribute (e.g., a movie genre or an actor). A profile of the user is created based, at least in part, on these datapoints. When a new datapoint is collected, the new datapoint is assigned a user-preference “score.” If, for example, the new datapoint does not come with an explicit user-preference rating, then the score is based on related item and attribute datapoints already in the profile. Depending upon the relationship of the new datapoint to the already existing datapoints, a confidence value is assigned to the user-preference score. The profile is then updated with the new datapoint along with its assigned score and confidence rating. The user profile can be used in performing any number of actions.
    • 收集用户偏好数据点。 这些数据点中的至少一些与关于项目(例如,电影)的用户偏好信息相关联,并且这些数据点中的一些与关于属性(例如,电影类型或演员)的用户偏好信息相关联。 至少部分地基于这些数据点创建用户的简档。 当收集新的数据点时,将为新的数据点分配用户偏好“分数”。例如,如果新的数据点不具有明确的用户偏好评级,则该分数基于相关项目和属性数据点 已经在配置文件中。 根据新数据点与现有数据点的关系,将置信度值分配给用户偏好分数。 然后,使用新的数据点更新配置文件以及其分配的分数和置信度。 用户配置文件可用于执行任何数量的操作。
    • 2. 发明申请
    • INFERRING ATTRIBUTE AND ITEM PREFERENCES
    • 感染属性和项目优先权
    • US20140258204A1
    • 2014-09-11
    • US13793650
    • 2013-03-11
    • GENERAL INSTRUMENT CORPORATION
    • Jianguo LiuMir F. AliPaul C. DavisGuohua Hao
    • G06N5/02
    • G06N5/04G06F17/30029G06F17/30761G06F17/30766G06F17/30828G06Q30/02
    • User-preference datapoints are collected. At least some of these datapoints are associated with user-preference information about an item (e.g., a movie), and some of these datapoints are associated with user-preference information about an attribute (e.g., a movie genre or an actor). A profile of the user is created based, at least in part, on these datapoints. When a new datapoint is collected, the new datapoint is assigned a user-preference “score.” If, for example, the new datapoint does not come with an explicit user-preference rating, then the score is based on related item and attribute datapoints already in the profile. Depending upon the relationship of the new datapoint to the already existing datapoints, a confidence value is assigned to the user-preference score. The profile is then updated with the new datapoint along with its assigned score and confidence rating. The user profile can be used in performing any number of actions.
    • 收集用户偏好数据点。 这些数据点中的至少一些与关于项目(例如,电影)的用户偏好信息相关联,并且这些数据点中的一些与关于属性(例如,电影类型或演员)的用户偏好信息相关联。 至少部分地基于这些数据点创建用户的简档。 当收集新的数据点时,将为新的数据点分配用户偏好“分数”。例如,如果新的数据点不具有明确的用户偏好评级,则该分数基于相关项目和属性数据点 已经在配置文件中。 根据新数据点与现有数据点的关系,将置信度值分配给用户偏好分数。 然后,使用新的数据点更新配置文件以及其分配的分数和置信度。 用户配置文件可用于执行任何数量的操作。