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    • 1. 发明授权
    • Incremental query refinement
    • 增量查询优化
    • US08655905B2
    • 2014-02-18
    • US13368948
    • 2012-02-08
    • Brett D. BrewerOliver Hurst-Hiller
    • Brett D. BrewerOliver Hurst-Hiller
    • G06F7/00G06F17/30
    • G06F17/3064G06F17/30389G06F17/3097
    • A method of incrementally refining queries and updating query result lists without requiring a user to provide an explicit indicator of query submission. In the method, one or more query related character patterns are defined. Entry of query defining characters by a user is monitored to detect entry of a defined query related character pattern. The user is provided with one or more suggested query refinement options and an updated query result list each time a defined query related character pattern is detected. The query related character patterns may be a character pattern that indicates a word has been input by the user.
    • 一种逐步精简查询和更新查询结果列表的方法,而不需要用户提供查询提交的明确指示符。 在该方法中,定义了一个或多个查询相关字符模式。 监视由用户输入查询定义字符以检测定义的查询相关字符模式的输入。 每当检测到定义的查询相关字符模式时,向用户提供一个或多个建议的查询细化选项和更新的查询结果列表。 查询相关字符图案可以是指示用户已输入单词的字符图案。
    • 5. 发明授权
    • System and method for generating normalized relevance measure for analysis of search results
    • 用于生成用于搜索结果分析的归一化相关性度量的系统和方法
    • US07725463B2
    • 2010-05-25
    • US10879002
    • 2004-06-30
    • Oliver Hurst-HillerLaurent ChavetBrett D. Brewer
    • Oliver Hurst-HillerLaurent ChavetBrett D. Brewer
    • G06F17/30
    • G06F17/30687G06F17/30646G06F17/30648Y10S707/99933
    • A system and related techniques permit a search service operator to access a variety of disparate relevance measures, and integrate those measures into idealized or unified data sets. A search service operator may employ self-learning networks to generate relevance rankings of Web site hits in response to user queries or searches, such as Boolean text or other searches. To improve the accuracy and quality of the rankings of results, the service provider may accept as inputs relevance measures created from query logs, from human-annotated search records, from independent commercial or other search sites, or from other sources and feed those measures to a normalization engine. That engine may normalize those relevance ratings to a common scale, such as quintiles, percentages or other scales or levels. The provider may then use that idealized or normalized combined measure to train the search algorithms or heuristics to arrive at more accurate results.
    • 系统和相关技术允许搜索服务运营商访问各种不同的相关性度量,并将这些措施集成到理想化或统一的数据集中。 搜索服务运营商可以使用自学习网络来响应于诸如布尔文本或其他搜索的用户查询或搜索来生成网站命中的相关性排名。 为了提高结果排名的准确性和质量,服务提供商可以接受从查询日志,人为注释搜索记录,独立商业或其他搜索网站或其他来源创建的输入相关性度量,并将这些措施提供给 一个归一化引擎。 该引擎可将这些相关性评级标准化为一般规模,例如五分位数,百分比或其他比例或级别。 然后,提供商可以使用该理想化或归一化的组合度量来训练搜索算法或启发式来获得更准确的结果。
    • 6. 发明申请
    • SYSTEM AND METHOD FOR SPAM IDENTIFICATION
    • 用于垃圾信息识别的系统和方法
    • US20100100564A1
    • 2010-04-22
    • US12647110
    • 2009-12-24
    • BRETT D. BREWERERIC B. WATSON
    • BRETT D. BREWERERIC B. WATSON
    • G06F17/30
    • G06F16/954G06F16/904
    • A system and method are provided for improving a user search experience by identifying spam results in a result set produced in response to a query. The system may include a user interface spam feedback mechanism for allowing a user to indicate that a given result is spam. The system may additionally include an automated spam identification mechanism for implementing automated techniques on the given result to determine whether the given result is spam. The system may further include a merging component for merging the determinations of the user interface spam feedback mechanism and the automated spam identification mechanism for deriving an indicator of the likelihood that a given result is spam.
    • 提供了一种用于通过识别响应于查询而产生的结果集中的垃圾邮件结果来改善用户搜索体验的系统和方法。 系统可以包括用户界面垃圾邮件反馈机制,用于允许用户指示给定结果是垃圾邮件。 该系统可以另外包括用于在给定结果上实现自动化技术的自动垃圾邮件标识机制,以确定给定结果是否是垃圾邮件。 该系统还可以包括用于合并用户界面垃圾邮件反馈机制的确定和用于导出给定结果是垃圾邮件的可能性的指示符的自动垃圾邮件标识机制的合并组件。