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    • 4. 发明申请
    • SMART USER-CENTRIC INFORMATION AGGREGATION
    • SMART用户中心信息聚合
    • WO2014028406A1
    • 2014-02-20
    • PCT/US2013/054583
    • 2013-08-12
    • MICROSOFT CORPORATION
    • ZHANG, JianwenZHANG, ZhiminSUN, Jian-TaoYAN, JunLIU, NingJI, LeiCHEN, WeizhuCHEN, Zheng
    • G06F17/30
    • G06F17/30032G06F17/30905
    • A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.
    • 以智能用户为中心的信息聚合系统允许用户定义显示在设备显示器中的内容区域,并代表用户执行信息聚合。 智能用户为中心的信息聚合系统在用户可以继续执行他/她的原始行为过程而不间断地搜索,聚合和分组与用户内容区域中包含的内容相关的信息。 在找到与期望内容相关的信息之后,智能用户为中心的信息聚合系统可以在接收到来自用户的确认时通知用户并向用户呈现找到的信息。 以智能用户为中心的信息聚合系统可以继续寻找新的相关信息,并且在某些情况下,不需要用户干预或输入,定期更新新发现的信息。
    • 6. 发明申请
    • EFFICIENT RETRIEVAL ALGORITHM BY QUERY TERM DISCRIMINATION
    • 通过查询性的歧视进行有效的检索算法
    • WO2008106670A1
    • 2008-09-04
    • PCT/US2008/055584
    • 2008-03-01
    • MICROSOFT CORPORATION
    • LIN, ChenxiJI, LeiZENG, Hua-JunZHANG, BenyuCHEN, ZhengWANG, Jian
    • G06F19/00
    • G06F17/30675G06Q10/10
    • An exemplary method for use in information retrieval includes, for each of a plurality of terms, selecting a predetermined number of top scoring documents for the term to form a corresponding document set for the term; receiving a plurality of terms, optionally as a query; ranking the plurality of terms for importance based at least in part on the document sets for the plurality of terms where the ranking comprises using an inverse document frequency algorithm; selecting a number of ranked terms based on importance where each selected, ranked term comprises its corresponding document set wherein each document in a respective document set comprises a document identification number; forming a union set based on the document sets associated with the selected number of ranked terms; and, for a document identification number in the union set, scanning a document set corresponding to an unselected term for a matching document identification number. Various other exemplary systems, methods, devices, etc. are also disclosed.
    • 用于信息检索的示例性方法包括对于多个术语中的每一个,为该术语选择预定数量的最高评分文档以形成用于该术语的对应文档集合; 接收多个术语,可选地作为查询; 至少部分地基于所述多个术语的文档集来排序所述多个重要项,所述术语的等级包括使用逆文档频率算法; 基于重要性选择多个排名项,其中每个所选择的排名项包括其对应的文档集,其中相应文档集中的每个文档包括文档标识号; 基于与选定数量的排名项相关联的文档集合来形成联合集合; 并且对于联合集合中的文档识别号码,扫描与匹配文档识别号码的未选择的术语相对应的文档集。 还公开了各种其它示例性系统,方法,装置等。