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    • 3. 发明申请
    • RECEPTIVE OPPORTUNITY PRESENTATION OF ACTIVITY-BASED ADVERTISING
    • 基于活动的广告的接受机会展示
    • US20090222344A1
    • 2009-09-03
    • US12062812
    • 2008-04-04
    • Daniel H. GreeneKurt E. PartridgeJames M.A. Begole
    • Daniel H. GreeneKurt E. PartridgeJames M.A. Begole
    • G06Q30/00
    • G06Q10/04G06Q30/02G06Q30/0251G06Q30/0256G06Q30/08
    • One embodiment of the present invention provides a system that facilitates presentation of activity-based advertising based on receptive opportunities. During operation, the system identifies a number of topics. The system then receives a number of advertisements from advertisers, wherein a respective advertisement is associated with a topic. For a respective topic, the system determines a number of candidate advertisements associated with that topic to be pending presentations. The system further analyzes an activity in which a customer is engaged. Next, the system identifies a receptive opportunity to present one or more advertisements to the customer based on the activity analysis. The system then determines among the pending presentations one or more advertisements to present to the customer during the identified receptive opportunity. Subsequently, the system presents the determined advertisements to the customer during the opportunity period.
    • 本发明的一个实施例提供一种有助于基于接受机会呈现基于活动的广告的系统。 在操作过程中,系统会识别一些主题。 然后,系统从广告商接收多个广告,其中相应的广告与主题相关联。 对于相应的主题,系统确定与该主题相关联的待处理演示的候选广告的数量。 该系统进一步分析客户参与的活动。 接下来,系统基于活动分析来识别接收机会向客户呈现一个或多个广告。 然后,该系统在所标识的接收机会期间在待决演示中确定呈现给客户的一个或多个广告。 随后,系统在机会期间向客户呈现确定的广告。
    • 4. 发明申请
    • AUTOMATICALLY TRIGGERING PREDICTIONS IN RECOMMENDATION SYSTEMS BASED ON AN ACTIVITY-PROBABILITY THRESHOLD
    • 基于活动可靠性阈值的建议系统自动触发预测
    • US20130218825A1
    • 2013-08-22
    • 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
    • G06N7/02
    • 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。
    • 10. 发明申请
    • CONTEXTUALLY SPECIFIC OPPORTUNITY BASED ADVERTISING
    • 基于特定机会的广告
    • US20120130806A1
    • 2012-05-24
    • US12949666
    • 2010-11-18
    • Kurt E. PartridgeJames M.A. BegoleMaurice K. Chu
    • Kurt E. PartridgeJames M.A. BegoleMaurice K. Chu
    • G06Q30/00
    • G06Q30/0251
    • One embodiment of the present invention provides a system that facilitates contextually specific opportunity-based advertising. During operation, the system collects contextual information associated with a consumer, and determines a current activity and/or a future activity in which the consumer is engaged based on the contextual information. The system then predicts one or more upcoming advertisement opportunities associated with the consumer based on the determined activities, and presents the predicted opportunities to one or more advertisers, thereby allowing the advertisers to determine a bid amount for presenting an advertisement at the predicted opportunities. The system further selects at least one advertisement to present based on one or more of the following: the bid amount, the collected contextual information, an occurrence probability of the predicted advertisement opportunities, content of the advertisement, metadata associated with the advertisement; and presents the advertisement to the consumer.
    • 本发明的一个实施例提供一种促进基于上下文特定的基于机会的广告的系统。 在操作期间,系统收集与消费者相关联的上下文信息,并根据上下文信息确定消费者所参与的当前活动和/或未来活动。 然后,系统基于所确定的活动来预测与消费者相关联的一个或多个即将到来的广告机会,并将预测的机会呈现给一个或多个广告商,由此允许广告商确定用于在预测机会上呈现广告的出价金额。 该系统还基于以下一个或多个来选择至少一个广告来呈现:投标金额,收集的上下文信息,预测广告机会的发生概率,广告内容,与广告相关联的元数据; 并向消费者呈现广告。