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    • 4. 发明授权
    • Automatically triggering predictions in recommendation systems based on an activity-probability threshold
    • 基于活动概率阈值自动触发推荐系统中的预测
    • US08732097B2
    • 2014-05-20
    • US13402751
    • 2012-02-22
    • Rui ZhangKurt E. PartridgeRobert R. PriceJames M. A. BegoleMaurice K. Chu
    • Rui ZhangKurt E. PartridgeRobert R. PriceJames M. A. BegoleMaurice K. Chu
    • G06F15/18
    • G06Q10/04G06Q30/02
    • A recommender system determines a probability threshold for an activity-prediction model, and uses the probability threshold to predict whether a user is performing a target activity. To determine the probability threshold, the system computes a set of activity probabilities based on contextual information for a set of historical activities, and based on an activity-prediction model for a target activity. The system then compares a set of probability thresholds with the set of activity probabilities to determine a prediction success rate for each probability threshold. The system computes a utility score for each probability threshold based on the prediction success rates and a utility function, and selects a probability threshold whose utility score is optimal amongst the utility scores of the set of thresholds and greater than or equal to a baseline utility score. The system then assigns the probability threshold to the activity-prediction model.
    • 推荐系统确定活动预测模型的概率阈值,并使用概率阈值来预测用户是否正在执行目标活动。 为了确定概率阈值,系统基于一组历史活动的上下文信息,并且基于目标活动的活动预测模型来计算一组活动概率。 然后,系统将一组概率阈值与活动概率集合进行比较,以确定每个概率阈值的预测成功率。 该系统基于预测成功率和效用函数来计算每个概率阈值的效用得分,并且选择一个概率阈值,其效用评分在阈值集合的效用评分之间是最佳的,并且大于或等于基准效用得分 。 系统然后将概率阈值分配给活动预测模型。
    • 6. 发明授权
    • Sensor-integrated mirror for determining consumer shopping behavior
    • 用于确定消费者购物行为的传感器集成镜
    • US08332255B2
    • 2012-12-11
    • US12614922
    • 2009-11-09
    • Maurice K. ChuJames M. A. Begole
    • Maurice K. ChuJames M. A. Begole
    • G06Q10/00
    • G06Q30/02G06Q30/0204
    • A mirror system includes an image sensor coupled to a mirror, and gathers consumer shopping preferences for merchandise items. During operation, the system gathers one or more sequential images, from the image sensor, of a consumer wearing a first wearable merchandise item in front of the image sensor. Next, the system identifies in the one or more sequential images a first merchandise item being worn by the consumer. Then, the system determines a demographic group associated with the consumer, and detects behavior patterns for the consumer, wherein the behavior pattern indicates an interest level of the consumer for the identified merchandise item. The system then determines a mapping between the identified consumer demographic group and an interest level for the identified merchandise item, and produces a model which encodes the mapping.
    • 镜系统包括耦合到镜子的图像传感器,并且收集商品的消费者购物偏好。 在操作期间,系统从图像传感器收集穿过图像传感器前面的第一可穿戴商品的消费者的一个或多个顺序图像。 接下来,系统在一个或多个顺序图像中识别由消费者佩戴的第一商品。 然后,系统确定与消费者相关联的人口统计组,并且检测消费者的行为模式,其中行为模式指示消费者对所识别的商品项目的兴趣水平。 然后,系统确定所识别的消费者人口统计组与所识别的商品项目的兴趣水平之间的映射,并且产生对映射进行编码的模型。