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    • 6. 发明授权
    • Smart widgets
    • 智能小部件
    • US09009152B2
    • 2015-04-14
    • US12700572
    • 2010-02-04
    • Wei-Cheng LaiSu-Lin Wu
    • Wei-Cheng LaiSu-Lin Wu
    • G06F17/30G06F7/00G06F7/10
    • G06F7/10G06F17/30
    • According to some example embodiments, a method includes based, at least in part, on one or more signals representative of user-defined content, assessing the user-defined content and storing one or more signals representative of a result of the assessment of the user-defined content. The method further includes selecting one or more widgets for presentation in combination with other content associated with the user-defined content, the selecting being based at least in part on the assessment of the user-defined content.
    • 根据一些示例实施例,一种方法至少部分地基于代表用户定义的内容的一个或多个信号,评估用户定义的内容并且存储表示用户的评估结果的一个或多个信号 定义的内容。 该方法还包括选择与用户定义的内容相关联的其他内容一起呈现的一个或多个小部件,该选择至少部分地基于用户定义的内容的评估。
    • 7. 发明申请
    • RELATIVE EXPERTISE SCORES AND RECOMMENDATIONS
    • 相关专家评估和建议
    • US20130325779A1
    • 2013-12-05
    • US13483857
    • 2012-05-30
    • Ben ShahshahaniSu-Lin Wu
    • Ben ShahshahaniSu-Lin Wu
    • G06N5/02
    • G06N5/00
    • Content recommendations customized to a user's knowledge are provided. The user's knowledge is assessed from the user's activity history and the expertise of the user regarding each of the various topics relative to a cohort group is determined. Based on the user's score, the user can be classified into various competency levels ranging from a novice to an expert in each topic. Content items for improving the user's scores in the various topics can be forwarded based on the user's classification and activity history. If the user is recognized as an expert in a particular topic, questions from other users regarding the particular topic can be directed to the user for the responses.
    • 提供了根据用户的知识定制的内容推荐。 用户的知识是根据用户的活动历史进行评估的,并确定用户关于相对于队列组的各个主题的专业知识。 根据用户的分数,用户可以分为从各个主题到新手到专家的各种能力水平。 可以根据用户的分类和活动历史转发用于改善用户在各种主题中的分数的内容项。 如果用户被识别为特定主题中的专家,则来自其他用户关于特定主题的问题可以针对用户的响应。
    • 9. 发明申请
    • ONLINE ARTICLE SYNDICATION VIA CONTENT PACKAGES
    • 在线文章通过内容包进行通报
    • US20130110618A1
    • 2013-05-02
    • US13333875
    • 2011-12-21
    • Su-Lin WuChris Leggetter
    • Su-Lin WuChris Leggetter
    • G06Q30/02
    • G06Q30/0201
    • A method for syndicating an electronic publication is provided. A content pool having a plurality of content pieces is defined, and a selection of content pieces of the content pool is received from a curator, the selection of content pieces defining a content package. Then, an electronic publication is defined to present the content package. The electronic publication is transmitted for viewing on a presentation device. Interactions with the electronic publication when presented on the presentation device are tracked. And a revenue amount is determined for the curator based on the tracked interactions with the electronic publication.
    • 提供了一种用于组合电子出版物的方法。 定义具有多个内容片段的内容池,并且从策展人接收内容池的内容片段的选择,定义内容包的内容片段的选择。 然后,定义电子出版物以呈现内容包。 电子出版物被发送用于在呈现装置上观看。 跟踪电子出版物在演示装置上的相互作用。 根据与电子出版物的跟踪交互,策展人确定收入金额。
    • 10. 发明申请
    • SEARCH ASSIST POWERED BY SESSION ANALYSIS
    • 搜索协助会议分析
    • US20120066195A1
    • 2012-03-15
    • US12882974
    • 2010-09-15
    • Chi-Hoon LeeEric CrestanJiefeng ShenRichard Allan KasperskiSu-Lin WuOmer Emre VelipasaogluBenoit Dumoulin
    • Chi-Hoon LeeEric CrestanJiefeng ShenRichard Allan KasperskiSu-Lin WuOmer Emre VelipasaogluBenoit Dumoulin
    • G06F17/30
    • G06F17/3064
    • One embodiment selects from a set of query-suggestion pairs a first query and a subset of query-suggestion pairs that each has the first query as its query; computes a Log Likelihood Ratio (LLR) value for each query-suggestion pair from the subset of query-suggestion pairs; ranks the subset of query-suggestion pairs according to their respective LLR values; removes from the subset of query-suggestion pairs all query-suggestion pairs whose LLR values are below a predetermined LLR threshold; computes a Pointwise Mutual Information (PMI) value for each remaining query suggestion pair from the subset of query-suggestion pairs; removes from the subset of query-suggestion pairs all query-suggestion pairs whose PMI values are below a predetermine PMI threshold; and constructs a ranked set of suggestions for the first query, wherein the ranked set of suggestions comprises one or more suggestions of the remaining query-suggestion pairs from the subset of query-suggestion pairs.
    • 一个实施例从一组查询建议对中选择第一查询和每个具有第一查询作为其查询的查询建议对的子集; 从查询建议对的子集计算每个查询建议对的对数似然比(LLR)值; 根据各自的LLR值对查询建议对的子集进行排序; 从查询建议对的子集中删除其LLR值低于预定LLR阈值的所有查询建议对; 从查询建议对的子集计算每个剩余查询建议对的点向相互信息(PMI)值; 从查询建议对的子集中删除其PMI值低于预定PMI阈值的所有查询建议对; 并且针对第一查询构建排序的建议集合,其中排名的建议集包括来自查询建议对的子集的剩余查询建议对的一个或多个建议。