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    • 1. 发明授权
    • Link analysis for enterprise environment
    • 企业环境链接分析
    • US08433712B2
    • 2013-04-30
    • US11680548
    • 2007-02-28
    • Hiroshi KoideCiya LiaoCindy HsinMeeten Bhavsar
    • Hiroshi KoideCiya LiaoCindy HsinMeeten Bhavsar
    • G06F17/00G06F7/00
    • G06F17/30979G06F21/41
    • A flexible and extensible architecture allows for secure searching across an enterprise. Such an architecture can provide a simple Internet-like search experience to users searching secure content inside (and outside) the enterprise. The architecture allows for the crawling and searching of a variety or sources across an enterprise, regardless of whether any of these sources conform to a conventional user role model. The architecture further allows for security attributes to be submitted at query time, for example, in order to provide real-time secure access to enterprise resources. The user query also can be transformed to provide for dynamic querying that provides for a more current result list than can be obtained for static queries.
    • 灵活可扩展的架构允许跨企业进行安全搜索。 这样的架构可以为在企业内部(和外部)搜索安全内容的用户提供简单的类似Internet的搜索体验。 该架构允许在整个企业中爬行和搜索各种源,而不管这些源是否符合常规用户角色模型。 该体系结构进一步允许在查询时提交安全属性,例如为了提供对企业资源的实时安全访问。 用户查询也可以被转换以提供动态查询,其提供比静态查询可获得的更多当前结果列表。
    • 3. 发明申请
    • SESSION BASED CLICK FEATURES FOR RECENCY RANKING
    • 基于会话的点击功能
    • US20110231390A1
    • 2011-09-22
    • US12725310
    • 2010-03-16
    • Yoshiyuki InagakiNarayanan SadagopanGeorges-Eric Albert Marie Robert DupretCiya LiaoAnlei DongYi ChangZhaohui Zheng
    • Yoshiyuki InagakiNarayanan SadagopanGeorges-Eric Albert Marie Robert DupretCiya LiaoAnlei DongYi ChangZhaohui Zheng
    • G06F17/30G06F15/18
    • G06F17/30864
    • In one embodiment, access one or more query-resource pairs, wherein for each one of the query-resource pairs comprising one of one or more search queries and one of one or more network resources, the one search query is recency-sensitive with respect to a particular time period, and the one network resource is identified for the one search query, and a resource-view count and a resource-click count associated with each one of the query-resource pairs; and construct one or more first click features using the resource-view counts and the resource-click counts associated with the query-resource pairs. To construct one of the first click features in connection with one of the query-resource pairs comprises determine a only-resource-click count associated with the one query-resource pair; and calculate a ratio between the only-resource-click count and the resource-view count associated with the one query-resource pair as the one first click feature.
    • 在一个实施例中,访问一个或多个查询 - 资源对,其中对于包括一个或多个搜索查询中的一个和一个或多个网络资源中的一个的查询 - 资源对中的每个查询 - 资源对,所述一个搜索查询对于近似度敏感 到特定时间段,并且为一个搜索查询标识一个网络资源,以及与每个查询 - 资源对相关联的资源视图计数和资源点击计数; 并使用资源视图计数和与查询 - 资源对相关联的资源点击计数构建一个或多个第一个点击功能。 为了构建与其中一个查询 - 资源对相关联的第一个点击功能之一,包括确定与一个查询 - 资源对相关联的唯一资源点击计数; 并且计算唯一的资源点击计数和与一个查询资源对相关联的资源视图计数之间的比率作为一个第一点击特征。
    • 4. 发明授权
    • Changing ranking algorithms based on customer settings
    • 根据客户设置改变排名算法
    • US07996392B2
    • 2011-08-09
    • US11769245
    • 2007-06-27
    • Ciya LiaoThomas ChangMuralidhar KrishnaprasadMeeten Bhavsar
    • Ciya LiaoThomas ChangMuralidhar KrishnaprasadMeeten Bhavsar
    • G06F7/00G06F17/30
    • G06F17/30867G06F17/30699
    • Search term ranking algorithms can be generated and updated based on customer settings, such as where a ranking algorithm is modeled as a combination function of different ranking factors. An end user of a search system provides personalized preferences for weighted attributes, generally or for a single instance of the query. The user also can indicate the relative importance of one or more ranking factors by specifying different weights to the factors. Ranking factors can specify document attributes, such as document title, document body, document page rank, etc. Based on the attribute weights and the received user query, a ranking algorithm function will produce the relevant value for each document corresponding to the user preferences and personalization configurations.
    • 搜索项排序算法可以根据客户设置生成和更新,例如排序算法被建模为不同排名因素的组合函数。 搜索系统的最终用户为加权属性提供个性化偏好,一般或单个查询实例。 用户还可以通过为因素指定不同的权重来指示一个或多个排名因子的相对重要性。 排名因素可以指定文档属性,如文档标题,文档正文,文档页面排名等。基于属性权重和接收到的用户查询,排序算法函数将为每个文档生成与用户偏好相对应的相关值, 个性化配置
    • 5. 发明授权
    • Document ranking with sub-query series
    • 文件排序与子查询系列
    • US07849077B2
    • 2010-12-07
    • US11481686
    • 2006-07-06
    • Ciya LiaoShamim A. Alpha
    • Ciya LiaoShamim A. Alpha
    • G06F17/30
    • G06F17/30672G06F17/30864
    • Systems, methods, media, and other embodiments associated with ranking documents by providing a search engine with a series of sub-queries generated from an original query are described. One example system includes input logic for receiving a query. The example system may include a relaxation logic configured to produce sub-queries from the query. The sub-queries may describe metadata string matching, content string matching, and/or metadata numerical attribute analysis. The sub-queries may be provided by an output logic to a search engine in an order that facilitates defining document relevance without requiring post-retrieval relevance ranking.
    • 描述了通过向搜索引擎提供从原始查询生成的一系列子查询来对与文档排序相关联的系统,方法,媒体和其他实施例。 一个示例系统包括用于接收查询的输入逻辑。 示例系统可以包括被配置为从查询产生子查询的放松逻辑。 子查询可以描述元数据字符串匹配,内容字符串匹配和/或元数据值属性分析。 子查询可以通过输出逻辑以搜索引擎的顺序提供,这有助于定义文档相关性,而不需要后检索相关性排名。
    • 6. 发明申请
    • Document ranking with sub-query series
    • 文件排序与子查询系列
    • US20080010268A1
    • 2008-01-10
    • US11481686
    • 2006-07-06
    • Ciya LiaoShamim A. Alpha
    • Ciya LiaoShamim A. Alpha
    • G06F17/30G06F7/00
    • G06F17/30672G06F17/30864
    • Systems, methods, media, and other embodiments associated with ranking documents by providing a search engine with a series of sub-queries generated from an original query are described. One example system includes input logic for receiving a query. The example system may include a relaxation logic configured to produce sub-queries from the query. The sub-queries may describe metadata string matching, content string matching, and/or metadata numerical attribute analysis. The sub-queries may be provided by an output logic to a search engine in an order that facilitates defining document relevance without requiring post-retrieval relevance ranking.
    • 描述了通过向搜索引擎提供从原始查询生成的一系列子查询来对与文档排序相关联的系统,方法,媒体和其他实施例。 一个示例系统包括用于接收查询的输入逻辑。 示例系统可以包括被配置为从查询产生子查询的放松逻辑。 子查询可以描述元数据字符串匹配,内容字符串匹配和/或元数据值属性分析。 子查询可以通过输出逻辑以搜索引擎的顺序提供,这有助于定义文档相关性,而不需要后检索相关性排名。
    • 7. 发明授权
    • Session based click features for recency ranking
    • 基于会话的点击功能进行新近度排名
    • US08255390B2
    • 2012-08-28
    • US12725310
    • 2010-03-16
    • Yoshiyuki InagakiNarayanan SadagopanGeorges-Eric Albert Marie Robert DupretCiya LiaoAnlei DongYi ChangZhaohui Zheng
    • Yoshiyuki InagakiNarayanan SadagopanGeorges-Eric Albert Marie Robert DupretCiya LiaoAnlei DongYi ChangZhaohui Zheng
    • G06F7/00G06F17/30
    • G06F17/30864
    • In one embodiment, access one or more query-resource pairs, wherein for each one of the query-resource pairs comprising one of one or more search queries and one of one or more network resources, the one search query is recency-sensitive with respect to a particular time period, and the one network resource is identified for the one search query, and a resource-view count and a resource-click count associated with each one of the query-resource pairs; and construct one or more first click features using the resource-view counts and the resource-click counts associated with the query-resource pairs. To construct one of the first click features in connection with one of the query-resource pairs comprises determine a only-resource-click count associated with the one query-resource pair; and calculate a ratio between the only-resource-click count and the resource-view count associated with the one query-resource pair as the one first click feature.
    • 在一个实施例中,访问一个或多个查询 - 资源对,其中对于包括一个或多个搜索查询中的一个和一个或多个网络资源中的一个的查询 - 资源对中的每个查询 - 资源对,所述一个搜索查询对于近似度敏感 到特定时间段,并且为一个搜索查询标识一个网络资源,以及与每个查询 - 资源对相关联的资源视图计数和资源点击计数; 并使用资源视图计数和与查询资源对相关联的资源点击计数构建一个或多个第一个点击功能。 为了构建与其中一个查询 - 资源对相关联的第一个点击功能之一,包括确定与一个查询 - 资源对相关联的唯一资源点击计数; 并且计算唯一的资源点击计数和与一个查询资源对相关联的资源视图计数之间的比率作为一个第一点击特征。