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    • 27. 发明申请
    • ALLOTMENT OF PLACEMENT LOCATIONS FOR SUPPLEMENTAL CONTENT IN DYNAMIC DOCUMENTS
    • 在动态文件中补充内容的配置位置
    • US20160342574A1
    • 2016-11-24
    • US13653170
    • 2012-10-16
    • Xincheng ZhangDongmin ZhangJia Liu
    • Xincheng ZhangDongmin ZhangJia Liu
    • G06F17/21
    • G06F17/22G06F3/0485G06F17/211G06Q50/00
    • Systems and methods for determining a layout for display of a dynamic document. The system and methods generally include a data processing system configured to determine an allotment of placement locations for supplemental content based on an identified size characteristic of principal content in a requested dynamic document. The data processing system determines a layout for display of the principal content and supplemental content objects according to the determined allotment of placement locations and provides the determined layout responsive to notification of the request. The data processing system may position placement locations for supplemental content according to the determined allotment of placement locations, positioning placement locations in regions inset within a principal content region, adjacent to a principal content region, in a region configured to remain within a view, or in a region configured to float above or around a principal content region.
    • 确定用于显示动态文档的布局的系统和方法。 该系统和方法通常包括数据处理系统,该数据处理系统被配置为基于所请求的动态文档中的主要内容的所识别的大小特征来确定对补充内容的放置位置的分配。 数据处理系统根据确定的放置位置的分配来确定用于显示主要内容和补充内容对象的布局,并根据请求的通知提供所确定的布局。 数据处理系统可以根据所确定的放置位置的分配来定位补充内容的位置,在被配置为保持在视图内的区域内,在主要内容区域内邻近的主要内容区域内插入的区域中的定位放置位置,或 在配置为浮动在主内容区域上方或周围的区域中。
    • 29. 发明授权
    • Adjust similar users identification based on performance feedback
    • 根据性能反馈调整类似的用户识别
    • US08874589B1
    • 2014-10-28
    • US13550073
    • 2012-07-16
    • Jia LiuYijian BaiManojav PatilDeepak RavichandranSittichai JiampojamarnShankar Ponnekanti
    • Jia LiuYijian BaiManojav PatilDeepak RavichandranSittichai JiampojamarnShankar Ponnekanti
    • G06F17/30
    • G06F17/30867
    • A method of setting a threshold similarity score value for a first plurality of network user identifiers. The first plurality of network user identifiers, a second plurality of network user identifiers and characteristic data associated with the network user identifiers is received. A performance target and an experimental threshold similarity score value are designated. A similarity score between the first and second plurality of network user identifiers is calculated. Performance statistics data for each of the second plurality of network user identifiers having a similarity score greater than or equal to the experimental threshold similarity score value is collected and compared to the similarity score of the network user identifier. Based on the comparison, the experimental threshold similarity score value is adjusted to a similarity score value that achieves the performance target and the threshold similarity score value is set to the adjusted experimental threshold similarity score value.
    • 一种为第一多个网络用户标识符设置阈值相似度得分值的方法。 接收第一多个网络用户标识符,第二多个网络用户标识符和与网络用户标识符相关联的特征数据。 指定性能目标和实验阈值相似性得分值。 计算第一和第二多个网络用户标识符之间的相似度分数。 收集具有大于或等于实验阈值相似性得分值的相似度得分的第二多个网络用户标识符中的每一个的性能统计数据,并与网络用户标识符的相似性得分进行比较。 基于比较,将实验阈值相似性得分值调整为达到性能目标的相似性得分值,并将阈值相似性得分值设置为调整后的实验阈值相似性得分值。
    • 30. 发明授权
    • Determining a model refresh rate
    • 确定模型刷新率
    • US08782197B1
    • 2014-07-15
    • US13551236
    • 2012-07-17
    • Jia LiuYijian BaiManojav PatilDeepak RavichandranSittichai JiampojamarnShankar Ponnekanti
    • Jia LiuYijian BaiManojav PatilDeepak RavichandranSittichai JiampojamarnShankar Ponnekanti
    • G06F13/00
    • G06Q30/0272G06Q30/0277
    • A computerized method for determining a model refresh rate for a model representing a list of network user identifiers includes receiving a first and a second model representing the list at a first and a second time, respectively. Similarity between the first and second model is calculated. If the similarity is less than a threshold value, the model refresh rate is a predetermined rate. If the similarity is equal to or exceeds the threshold value, the model refresh rate is decreased to a less frequent rate. A similarity between a reference model and a selected model in a same content category may be calculated. If the similarity is less than a threshold value, the model refresh rate for the selected model is a predetermined rate. If the similarity is equal to or exceeds the threshold value, the model refresh rate for the reference model is applied to the selected model.
    • 用于确定代表网络用户标识符列表的模型的模型刷新率的计算机化方法包括分别在第一和第二时间接收表示列表的第一模型和第二模型。 计算第一和第二模型之间的相似度。 如果相似度小于阈值,则模型刷新率是预定的速率。 如果相似度等于或超过阈值,则模型刷新率降低到较不频繁的速率。 可以计算相同内容类别中的参考模型和所选模型之间的相似度。 如果相似度小于阈值,则所选模型的模型刷新率是预定的速率。 如果相似度等于或超过阈值,则将参考模型的模型刷新率应用于所选模型。