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    • 3. 发明申请
    • ASSIGNING A PUBLICATION DATE FOR AT LEAST ONE ELECTRONIC DOCUMENT
    • 为至少一个电子文件准备出版日期
    • US20060248456A1
    • 2006-11-02
    • US10908215
    • 2005-05-02
    • Todd BenderKeiko KuritaTram NguyenC. NiblackZengyan Zhang
    • Todd BenderKeiko KuritaTram NguyenC. NiblackZengyan Zhang
    • G06F17/24
    • G06F17/2765
    • The present invention provides a method and system of assigning a publication date for at least one electronic document, where the publication date includes the year that the document was published, the month that the document was published, and the day that the document was published. In an exemplary embodiment, the method and system include (1) recognizing the publication date in the document by regular expression pattern matching, (2) if the publication date is ambiguous, resolving the ambiguous publication date, and (3) validating the publication date. In an exemplary embodiment, the recognizing includes determining at least one candidate publication date from the document identifier of the document. In an exemplary embodiment, the recognizing includes determining the publication date from the textual content of the document. In an exemplary embodiment, the recognizing includes determining the publication date from the metadata of the document.
    • 本发明提供了一种分配至少一个电子文档的发布日期的方法和系统,其中发布日期包括文档发布的年份,文档发布的月份以及文档发布的那一天。 在一个示例性实施例中,方法和系统包括(1)通过正则表达模式匹配来识别文档中的发布日期,(2)如果发布日期不明确,解决模糊的发布日期,以及(3)验证发布日期 。 在示例性实施例中,识别包括从文档的文档标识符确定至少一个候选发布日期。 在示例性实施例中,识别包括从文档的文本内容确定发布日期。 在示例性实施例中,识别包括从文档的元数据确定发布日期。
    • 7. 发明申请
    • Combining Historical CTR and Bid Amount in Search Message Selection
    • 在搜索邮件选择中组合历史点击率和出价金额
    • US20110066496A1
    • 2011-03-17
    • US12558175
    • 2009-09-11
    • Zengyan ZhangJason ZienSanjav KshetramadeYing CuiSong Lin
    • Zengyan ZhangJason ZienSanjav KshetramadeYing CuiSong Lin
    • G06Q10/00G06F17/30G06F7/10G06F15/18
    • G06Q30/0244G06F16/9535G06Q30/0254G06Q30/0255G06Q30/0275
    • A method, system and computer readable medium selects additional message content to display to a user when the user request base content. In order to optimize the intermediate selection pool of message candidates (from which a final selection is chosen), for each candidate message, a historical aggregate of CTR data is combined with an offline estimate, also obtained from historical data, of RElative Probability of Action (REPA, which combines computed relevancy scores and ranking information) and with bid amount to obtain an estimate for revenue generation. This estimate is combined with dynamic matching between the message and the page/user pair to obtain a final score for each message that is used to create the intermediate selection pool of message for the page displayed. Final message selection uses a feedback loop, using specific CRT in conjunction with the specific page displayed, for the messages in the intermediately selected pool.
    • 当用户请求基本内容时,方法,系统和计算机可读介质选择附加消息内容以向用户显示。 为了优化消息候选的中间选择池(从中选择最终选择),对于每个候选消息,CTR数据的历史聚合与从历史数据获得的脱机概率合并在一起 (REPA,其结合了计算的相关性分数和排名信息)和出价金额,以获得收入的估计。 该估计与消息与页面/用户对之间的动态匹配相结合,以获得用于为显示的页面创建消息的中间选择池的每个消息的最终得分。 最终消息选择使用反馈循环,使用特定的CRT与显示的特定页面相关联的中间选择池中的消息。