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    • 2. 发明申请
    • CLUSTERED SEARCH PROCESSING
    • 集群搜索处理
    • WO2008085637A3
    • 2008-08-21
    • PCT/US2007086990
    • 2007-12-10
    • YAHOO INCOTT EDWARD STANLEYSAFT KEITH DAVIDBOERRIES MARCOTENDJOUKIAN MEHERYIU PAUL
    • OTT EDWARD STANLEYSAFT KEITH DAVIDBOERRIES MARCOTENDJOUKIAN MEHERYIU PAUL
    • G06F17/30
    • G06F17/30864G06F17/30867Y10S707/99933
    • Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.
    • 用于搜索数据并将搜索结果分组为根据搜索相关性排序的群集的方法和装置。 每个群集包括一个或多个数据类型,诸如图像,网页,本地信息,新闻,广告等。 在一个实施例中,针对指示要搜索的数据源的类别的相关概念评估搜索项。 数据源也可以通过诸如客户端设备的位置,当前正在运行的应用等的上下文信息来识别。 每个集群中的搜索结果按照相关性排序,并根据集群内的相关性的总和为每个集群提供分数。 可以基于一个或多个对应的概念和/或上下文信息来修改每个聚类分数。 集群根据修改的分数进行排序。 内容,包括广告,也可以添加到有序列表中,以显示为另一个集群。
    • 3. 发明申请
    • EMPLOYING MOBILE LOCATION TO REFINE SEARCHES
    • 使用移动位置来精简搜索
    • WO2008085629A1
    • 2008-07-17
    • PCT/US2007/086603
    • 2007-12-06
    • YAHOO! INC.OTT, Edward, StanleySAFT, Keith, DavidBOERRIES, MarcoTENDJOUKIAN, MeherYIU, Paul
    • OTT, Edward, StanleySAFT, Keith, DavidBOERRIES, MarcoTENDJOUKIAN, MeherYIU, Paul
    • G06F7/00
    • G06F17/30241G06F17/3087
    • A system and method are directed towards refining mobile device search results using location modifiers. Information about a mobile device user may be collected, including a current location, a default location, information from address books, or other social networking information. The user may input a search query that is parsed into a primary search term and possibly a location modifier. The location modifier may modify the search for the primary search term by refining a physical location over which the search is performed. Location modifiers may include user-specific location modifiers that may employ social networking information to refine the search query, or a location sub-string modifier that refines the search query by employing a hierarchy of location data and/or social networking information. In one embodiment, where no location modifier is included within the search query, a current, or default, location of the mobile device may be employed.
    • 系统和方法旨在使用位置修改器来优化移动设备搜索结果。 可以收集关于移动设备用户的信息,包括当前位置,默认位置,来自地址簿的信息或其他社交网络信息。 用户可以将分析的搜索查询输入到主要搜索词和可能的位置修饰符中。 位置修改器可以通过改进执行搜索的物理位置来修改对主要搜索项的搜索。 位置修改器可以包括可以使用社交网络信息来细化搜索查询的用户特定位置修饰符,或者通过采用位置数据和/或社交网络信息的层次来优化搜索查询的位置子字符串修饰符。 在一个实施例中,在搜索查询内没有包括位置修饰符的情况下,可以采用移动设备的当前或默认位置。
    • 6. 发明申请
    • CLUSTERED SEARCH PROCESSING
    • 集群搜索处理
    • WO2008085637A2
    • 2008-07-17
    • PCT/US2007/086990
    • 2007-12-10
    • YAHOO! INC.OTT, Edward, StanleySAFT, Keith, DavidBOERRIES, MarcoTENDJOUKIAN, MeherYIU, Paul
    • OTT, Edward, StanleySAFT, Keith, DavidBOERRIES, MarcoTENDJOUKIAN, MeherYIU, Paul
    • G06F17/30
    • G06F17/30864G06F17/30867Y10S707/99933
    • Methods and apparatus for searching data and grouping search results into clusters that are ordered according to search relevance. Each cluster comprises one or more data type, such as images, web pages, local information, news, advertisements, and the like. In one embodiment, a search term is evaluated for related concepts indicating categories of data sources to search. Data sources may also be identified by context information such as a location of a client device, a currently running application, and the like. Search results in each cluster are ordered by relevance and each cluster is given a score based on an aggregate of the relevance within the cluster. Each cluster score may be modified based on one or more corresponding concepts and/or context information. The clusters are ordered based on the modified scores. Content, including advertisements, may also be added to the ordered list to appear as another cluster.
    • 用于搜索数据并将搜索结果分组成根据搜索相关性排序的簇的方法和设备。 每个群集包括一个或多个数据类型,诸如图像,网页,本地信息,新闻,广告等。 在一个实施例中,针对指示要搜索的数据源的类别的相关概念来评估搜索项。 数据源也可以通过诸如客户端设备的位置,当前正在运行的应用程序等的上下文信息来标识。 每个群集中的搜索结果按相关性排序,并根据群集内相关性的总和给每个群集评分。 可以基于一个或多个相应的概念和/或上下文信息来修改每个聚类分数。 集群根据修改的分数进行排序。 内容(包括广告)也可以添加到有序列表中以显示为另一个群集。