COMPUTERIZED SYSTEM AND METHOD FOR SEARCH QUERY AUTO-COMPLETION

    公开(公告)号:US20170091198A1

    公开(公告)日:2017-03-30

    申请号:US14869435

    申请日:2015-09-29

    Applicant: YAHOO! INC.

    CPC classification number: G06F17/3064 G06F17/30654 G06F17/30696 G06Q30/0256

    Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, generating, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for determining and suggesting query auto-completions (QACs). In some embodiments, when a user is inputting a search query, the disclosed systems and methods can provide a QAC suggestion based on the inputted text in addition to application programs installed and/or executing on the user's device.

    CONTEXTUAL BASED SEARCH SUGGESTION
    2.
    发明申请
    CONTEXTUAL BASED SEARCH SUGGESTION 有权
    基于背景的搜索建议

    公开(公告)号:US20150169606A1

    公开(公告)日:2015-06-18

    申请号:US14106989

    申请日:2013-12-16

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30867 G06F17/30646

    Abstract: Methods, systems and programming for providing query suggestions based on user's previous search query. In one example, an input including a prefix of a first query is received from a user in a user session. At least a second query that was previously received from the user in the user session is then obtained. A third query is obtained based on the second query and the prefix of the first query. One or more query suggestions are provided to the user as a response to the input. The one or more query suggestions include the third query.

    Abstract translation: 基于用户以前的搜索查询提供查询建议的方法,系统和程序。 在一个示例中,在用户会话中从用户接收包括第一查询的前缀的输入。 然后获得先前在用户会话中从用户接收到的第二个查询。 基于第二个查询和第一个查询的前缀获得第三个查询。 作为对输入的响应,向用户提供一个或多个查询建议。 一个或多个查询建议包括第三个查询。

    Contextual based search suggestion

    公开(公告)号:US09971837B2

    公开(公告)日:2018-05-15

    申请号:US14106989

    申请日:2013-12-16

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/30867 G06F17/30646

    Abstract: Methods, systems and programming for providing query suggestions based on user's previous search query. In one example, an input including a prefix of a first query is received from a user in a user session. At least a second query that was previously received from the user in the user session is then obtained. A third query is obtained based on the second query and the prefix of the first query. One or more query suggestions are provided to the user as a response to the input. The one or more query suggestions include the third query.

    Method and System for Rewriting a Query
    5.
    发明申请

    公开(公告)号:US20170300530A1

    公开(公告)日:2017-10-19

    申请号:US15130217

    申请日:2016-04-15

    Applicant: Yahoo! Inc.

    CPC classification number: G06F16/24534 G06F16/24578 G06N20/00

    Abstract: The present teaching relates to rewriting a query and providing search results. In one example, a plurality of queries is obtained. For each of the plurality of queries, one or more search results are identified. The one or more search results have been obtained in response to the query and have been previously selected by a user submitting the query. A plurality of titles is obtained. Each of the titles corresponds to one of the one or more search results with respect to one of the plurality of queries. A model is generated based on the plurality of queries and the plurality of titles. The model is to be used for rewriting a query.

    METHOD AND SYSTEM FOR PROVIDING QUERY SUGGESTIONS BASED ON USER FEEDBACK
    6.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING QUERY SUGGESTIONS BASED ON USER FEEDBACK 审中-公开
    基于用户反馈提供查询建议的方法和系统

    公开(公告)号:US20160140125A1

    公开(公告)日:2016-05-19

    申请号:US14546635

    申请日:2014-11-18

    Applicant: Yahoo! Inc.

    Abstract: Methods, systems and programming for providing query suggestions based on user feedback. In one example, a prefix of a query is first received. An input including a prefix of a query is received from a user in a search session. A plurality of query suggestions are fetched based on the prefix of the query. Rankings of the plurality of query suggestions are determined based, at least in part, on the user's previous interactions in the search session with respect to at least one of the plurality of query suggestions. The at least one of the plurality of query suggestions has been previously provided to the user in the search session. The plurality of query suggestions are provided in the search session based on their rankings as a response to the input.

    Abstract translation: 基于用户反馈提供查询建议的方法,系统和程序。 在一个示例中,首先接收查询的前缀。 在搜索会话中从用户接收包括查询的前缀的输入。 基于查询的前缀获取多个查询建议。 至少部分地基于所述搜索会话中关于所述多个查询建议中的至少一个的所述用户先前的交互来确定所述多个查询建议的排名。 多个查询建议中的至少一个先前已经在搜索会话中提供给用户。 基于它们的排名作为对输入的响应,在搜索会话中提供多个查询建议。

    METHOD AND SYSTEM FOR PROVIDING QUERY SUGGESTIONS INCLUDING ENTITIES
    7.
    发明申请
    METHOD AND SYSTEM FOR PROVIDING QUERY SUGGESTIONS INCLUDING ENTITIES 有权
    用于提供包括实体在内的查询建议的方法和系统

    公开(公告)号:US20150317317A1

    公开(公告)日:2015-11-05

    申请号:US14265900

    申请日:2014-04-30

    Applicant: Yahoo! Inc.

    CPC classification number: G06F17/3097 G06F17/3053 G06F17/3064 G06F17/30864

    Abstract: Methods, systems and programming for providing query suggestions including entities. In one example, a prefix of a query is first received. A plurality of query suggestions are then identified based on the prefix of the query. The plurality of query suggestions include at least one entity. Scores of each of the plurality of query suggestions are computed using a first model. The first model includes an adjustable parameter used for computing the score of the at least one entity. The plurality of question suggestions are ranked based, at least in part, on the scores.

    Abstract translation: 提供包括实体在内的查询建议的方法,系统和程序。 在一个示例中,首先接收查询的前缀。 然后,基于查询的前缀来识别多个查询建议。 多个查询建议包括至少一个实体。 使用第一模型来计算多个查询建议中的每一个的分数。 第一模型包括用于计算至少一个实体的分数的可调参数。 多个问题建议至少部分地基于得分进行排名。

    METHOD AND SYSTEM FOR PROVIDING CONTEXT BASED QUERY SUGGESTIONS

    公开(公告)号:US20170161373A1

    公开(公告)日:2017-06-08

    申请号:US14962081

    申请日:2015-12-08

    Applicant: Yahoo! Inc.

    Abstract: The present teaching relates to providing a query suggestion. In one example, a request is received for query suggestions with respect to a query prefix input by a user. A plurality of query suggestions is determined based on the query prefix and a preceding query input by the user. A degree of popularity of the preceding query is determined. One or more query suggestions are selected from the plurality of query suggestions based on the degree of popularity of the preceding query. The one or more query suggestions are provided as a response to the request.

    LOCAL QUERY RANKING FOR SEARCH ASSIST METHOD AND APPARATUS
    9.
    发明申请
    LOCAL QUERY RANKING FOR SEARCH ASSIST METHOD AND APPARATUS 审中-公开
    搜索帮助方法和设备的本地查询排名

    公开(公告)号:US20160041983A1

    公开(公告)日:2016-02-11

    申请号:US14453915

    申请日:2014-08-07

    Applicant: YAHOO! INC.

    CPC classification number: G06F16/9537

    Abstract: One or more suggested search query completion alternatives are provided to the user and are selectable by the user in completing the user's search query. The suggested search query completion alternatives may comprise local business query completion suggestions, each of which may correspond to a local business, and general query completion suggestions, each of which may correspond to a general query. A ranking of local business query completion suggestions and general query completion suggestions may be used to identify a number of top-ranked query completion suggestions for presentation to the user. The ranking may use a popularity measure associated with each business and a frequency measure associated with each general query. A popularity associated with a local business may be weighted using a granularity weighting, which may be determined using a local query intent confidence level.

    Abstract translation: 一个或多个建议的搜索查询完成替代方案被提供给用户,并且可由用户在完成用户的搜索查询时选择。 建议的搜索查询完成替代方案可以包括本地业务查询完成建议,每个建议可以对应于本地业务,以及一般查询完成建议,每个查询完成建议可以对应于一般查询。 可以使用本地业务查询完成建议和一般查询完成建议的排名来识别用于呈现给用户的一些排名最高的查询完成建议。 排名可以使用与每个业务相关联的受欢迎度量和与每个一般查询相关联的频率测量。 可以使用粒度加权来加权与本地业务相关的流行度,其可以使用本地查询意图置信水平来确定。

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