Propagating Information Among Web Pages
    31.
    发明申请
    Propagating Information Among Web Pages 有权
    网页之间传播信息

    公开(公告)号:US20140052735A1

    公开(公告)日:2014-02-20

    申请号:US13968339

    申请日:2013-08-15

    CPC classification number: G06F17/30321 G06F17/30864 G06F17/3089

    Abstract: Web pages of a Website may be processed to improve search results. For example, information likely to pertain to more than just the Web page it is directly associated with may be identified. One or more other, related, Web pages that such information is likely to pertain to is also identified. The identified information is associated with the identified other Web page(s) and this association is saved in a way to affect a search result score of the Web page(s).

    Abstract translation: 可能会处理网站的网页以改进搜索结果。 例如,可能会识别与其直接相关联的网页不仅仅在于其信息的信息。 也可以识别出这样的信息可能涉及的一个或多个其他相关的网页。 所识别的信息与所标识的其他网页相关联,并且以影响网页的搜索结果分数的方式保存该关联。

    Providing result-based query suggestions

    公开(公告)号:US08583675B1

    公开(公告)日:2013-11-12

    申请号:US12871515

    申请日:2010-08-30

    Abstract: In general, one aspect of the subject matter described can be embodied in a method that includes, for a first document that is included in first search results responsive to a first user-submitted query, selecting a plurality of previously submitted queries for which the first document was a responsive search result. The method can further include determining whether second documents that are relevant to the previously submitted query have at least a threshold level of diversity in comparison to the first search results, wherein second documents are determined to be relevant to the previously submitted query based on data that is indicative of user behavior. The method can additionally include identifying one or more queries from the selected previously submitted queries to provide as first suggested queries, and providing the one or more identified queries as first suggested queries with the first search results for the first user-submitted query.

    Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems
    35.
    发明授权
    Locating meaningful stopwords or stop-phrases in keyword-based retrieval systems 有权
    在基于关键字的检索系统中找到有意义的词汇或停止词组

    公开(公告)号:US08214385B1

    公开(公告)日:2012-07-03

    申请号:US13098956

    申请日:2011-05-02

    Abstract: A stopword detection component detects stopwords (also stop-phrases) in search queries input to keyword-based information retrieval systems. Potential stopwords are initially identified by comparing the terms in the search query to a list of known stopwords. Context data is then retrieved based on the search query and the identified stopwords. In one implementation, the context data includes documents retrieved from a document index. In another implementation, the context data includes categories relevant to the search query. Sets of retrieved context data are compared to one another to determine if they are substantially similar. If the sets of context data are substantially similar, this fact may be used to infer that the removal of the potential stopword(s) is not material to the search. If the sets of context data are not substantially similar, the potential stopword can be considered material to the search and should not be removed from the query.

    Abstract translation: 停止词检测组件在输入到基于关键字的信息检索系统的搜索查询中检测到停止词(也称为停止词)。 最初通过将搜索查询中的术语与已知无效词列表进行比较来识别潜在的禁忌词。 然后基于搜索查询和所识别的无效词来检索上下文数据。 在一个实现中,上下文数据包括从文档索引检索的文档。 在另一实现中,上下文数据包括与搜索查询相关的类别。 将检索到的上下文数据的集合彼此进行比较,以确定它们是否基本相似。 如果上下文数据集合基本相似,则可以使用该事实来推断潜在的停止词的移除对搜索不重要。 如果上下文数据集基本上不相似,潜在的停用词可以被认为是搜索的重要内容,不应该从查询中移除。

    Systems and methods for providing search query refinements
    39.
    发明授权
    Systems and methods for providing search query refinements 有权
    提供搜索查询优化的系统和方法

    公开(公告)号:US08065316B1

    公开(公告)日:2011-11-22

    申请号:US10953117

    申请日:2004-09-30

    CPC classification number: G06F17/30646 G06F17/3064 G06F17/30864

    Abstract: A system and method for generating query refinement suggestions may include collecting refinement data for at least one received source query. The collected refinement data is then clustered to form at least one cluster. At least one potential refinement query suggestion is identified from the refinement data within the at least one cluster.

    Abstract translation: 用于产生查询细化建议的系统和方法可以包括收集至少一个接收的源查询的细化数据。 收集的细化数据然后被聚集以形成至少一个聚类。 至少一个潜在的细化查询建议是根据至少一个群集内的细化数据来识别的。

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