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    • 72. 发明授权
    • Preference judgements for relevance
    • 相关性的偏好判断
    • US08069179B2
    • 2011-11-29
    • US12108531
    • 2008-04-24
    • David M. ChickeringPaul N. BennettSusan T. DumaisBenjamin Austin Carterette
    • David M. ChickeringPaul N. BennettSusan T. DumaisBenjamin Austin Carterette
    • G06F7/00G06F17/30
    • G06F17/30867
    • The claimed subject matter provides a system that trains or evaluates ranking techniques by employing or obtaining relative preference judgments. The system can include mechanisms that retrieve a set of documents from a storage device, combine the set of documents with a query or judgment task received via an interface to form a comparative selection panel, and present the comparative selection panel for evaluation by an assessor. The system further requests the assessor to make a selection as to which document included in the set of documents and presented in the comparative selection panel most satisfies the query or judgment task, and thereafter produces a comparative assessment of the set of documents based on the selections elicited from the assessor and associated with the set of documents.
    • 所要求保护的主题提供了通过采用或获得相对偏好判断来训练或评估排名技术的系统。 该系统可以包括从存储装置检索一组文档的机构,将该组文件与通过界面接收到的查询或判断任务组合以形成比较选择面板,并呈现评估者进行评估的比较选择面板。 该系统进一步要求评估人员选择一组文件中包含的文件,并在比较选择面板中提供的文档最符合查询或判断任务,然后根据选择对文档集进行比较评估 从评估员处获得并与该组文件相关联。
    • 73. 发明授权
    • Enhanced browsing experience in social bookmarking based on self tags
    • 增强基于自我标签的社交书签浏览体验
    • US07885986B2
    • 2011-02-08
    • US11769146
    • 2007-06-27
    • Brigham AndersonDavid M. Chickering
    • Brigham AndersonDavid M. Chickering
    • G06F7/00G06F17/30
    • G06F17/30884G06Q10/10G06Q30/02
    • Improved browsing experience in social bookmarking by leveraging aspects of self tagging and prediction. Quality recommendations are provided for sites of interest to the user and information about what types of people like the current website. Self-tagging is used as an effective means to perform personalized searches. Machine learning and reasoning is employed to predict self-tags based on a website visited and/or website behavior, and self-tags associated with a website and/or webpage based on content of that website and/or webpage. The architecture can be embodied as a browser utility to leverage and extend social-bookmarking information. The utility facilitates the display of information related to a summary view of the users who liked/disliked the current page or website, a tag cloud associated with webpages, and a recommendation button that causes self-tag recommendations to be displayed and that recommends links based on the combination of user tags and content.
    • 通过利用自我标记和预测的方面,改善了社会书签的浏览体验。 为用户感兴趣的网站提供质量建议,以及关于什么类型的人像当前网站的信息。 自我标记被用作执行个性化搜索的有效手段。 采用机器学习和推理来基于所访问的网站和/或网站行为来预测自标签,以及基于该网站和/或网页的内容与网站和/或网页相关联的自标签。 该架构可以体现为浏览器实用程序,以利用和扩展社会书签信息。 该实用程序有助于显示与喜欢/不喜欢当前页面或网站的用户的摘要视图相关联的信息,与网页相关联的标签云以及引起自标签建议被显示的推荐按钮,并且推荐基于链接 关于用户标签和内容的组合。
    • 74. 发明授权
    • Cloaking detection utilizing popularity and market value
    • 掩盖检测利用人气和市场价值
    • US07885952B2
    • 2011-02-08
    • US11613725
    • 2006-12-20
    • Kumar H. ChellapillaDavid M. Chickering
    • Kumar H. ChellapillaDavid M. Chickering
    • G06F7/00
    • G06F17/30864G06Q30/02
    • The subject disclosure pertains to systems and methods that facilitate detection of cloaked web pages. Commercial value of search terms and/or queries can be indicative of the likelihood that web pages associated with the keywords or queries are cloaked. Commercial value can be determined based upon popularity of terms and/or advertisement market value as established based upon advertising revenue, fees and the like. Commercial value can be utilized in conjunction with term frequency difference analysis to identify a cloaked page automatically. In addition, commercial values of terms associated with web pages can be used to order or prioritize web pages for further analysis.
    • 主题公开涉及便于检测隐藏的网页的系统和方法。 搜索词和/或查询的商业价值可以表示与关键字或查询相关联的网页被隐藏的可能性。 商业价值可以根据基于广告收入,费用等建立的条款和/或广告市场价值的普及来确定。 商业价值可以与期限频率差分析一起使用,以自动识别隐藏页面。 此外,与网页相关联的术语的商业价值可用于对网页进行订购或优先排序以进一步分析。
    • 76. 发明授权
    • Using predictive user models for language modeling on a personal device with user behavior models based on statistical modeling
    • 使用基于统计建模的用户行为模型对个人设备进行语言建模的预测用户模型
    • US07752152B2
    • 2010-07-06
    • US11378024
    • 2006-03-17
    • Timothy S. PaekDavid M. Chickering
    • Timothy S. PaekDavid M. Chickering
    • G06F15/18G06E1/00G06E3/00G06G7/00
    • G06F17/276G06N99/005G10L15/183G10L15/22G10L2015/0631
    • A system and method for prediction of a user goal for command/control of a personal device (e.g., mobile phone) is provided. The system employs statistical model(s) that can predict a command based, at least in part, on past user behavior (e.g., probability distribution over a set of predicates, and, optionally arguments). Further, the system can be employed with a speech recognition component to facilitate language modeling for predicting the user goal.The system can include predictive user models (e.g., predicate model and argument model) that receive a user input (e.g., utterance) and employ statistical modeling to determine the likely command without regard to the actual content of the input (e.g., utterance). The system employs features for predicting the next user goal which can be stored in a user data store. Features can capture personal idiosyncrasies or systematic patterns of usage (e.g., device-related, time-related, predicate-related, contact-specific and/or periodic features).
    • 提供了一种用于预测用于个人设备(例如,移动电话)的命令/控制的用户目标的系统和方法。 该系统使用至少部分地基于过去的用户行为(例如,一组谓词上的概率分布,以及可选的参数)来预测命令的统计模型。 此外,该系统可以与语音识别组件一起使用以便于用于预测用户目标的语言建模。 该系统可以包括接收用户输入(例如,话语)并且采用统计建模来确定可能的命令而不考虑输入的实际内容(例如,话语)的预测用户模型(例如谓词模型和参数模型)。 该系统采用用于预测可存储在用户数据存储中的下一个用户目标的特征。 特征可以捕获个人特征或系统的使用模式(例如,与设备相关的,与时间相关的,谓词相关的,特定于接触的和/或周期的特征)。