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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.
Inventor： Shenhong Zhu , Anlei Dong , Kazuhiro Nakao , Hongbo Deng , Hui Wu
IPC: G06F17/30
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.
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公开(公告)号：US20150317310A1
公开(公告)日：2015-11-05
申请号：US14265780
申请日：2014-04-30
Applicant: Yahoo! Inc.
Inventor： Alyssa Glass , Anlei Dong , Ted Eiche
IPC: G06F17/30
CPC classification number: G06F17/3097 , G06F17/3053 , G06F17/30554 , G06F17/3064 , G06F17/30864
Abstract: Methods, systems and programming for evaluating query suggestions quality. In one example, a plurality of query suggestions are provided in a ranking to a user. A user activity with respect to one of the plurality of query suggestions is detected. A position of the one of the plurality of query suggestions in the ranking is determined. A quality measure of the plurality of query suggestions is calculated based, at least in part, on the user activity and the position of the one of the plurality of query suggestions.
Abstract translation: 用于评估查询建议质量的方法，系统和编程。 在一个示例中，在用户的排名中提供多个查询建议。 检测关于多个查询建议之一的用户活动。 确定排序中的多个查询建议之一的位置。 至少部分地基于用户活动和多个查询建议之一的位置来计算多个查询建议的质量度量。
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公开(公告)号：US20140172652A1
公开(公告)日：2014-06-19
申请号：US13720703
申请日：2012-12-19
Applicant: YAHOO! INC.
Inventor： Nageswara R. Pobbathi , Anlei Dong , Yi Chang
IPC: G06Q10/08
CPC classification number: G06Q10/087
Abstract: A system and method is described for large-scale, automated classification of products. The system and method receives information about products, wherein such information includes one or more text metadata fields associated with each product, receives a set of categories, and automatically selects one or more categories from the set of categories to which each product belongs based upon at least one of the one or more text metadata fields associated with each product. A machine learning classifier may be used to automatically select the one or more categories to which each product belongs by operating upon a feature vector for each product derived from text metadata fields of the product description. The machine learning classifier may be trained using a set of pre-categorized product descriptions. The product-category associations generated by the system and method can be used to improve search engine results or product recommendations to consumers.
Abstract translation: 描述了用于产品的大规模自动分类的系统和方法。 系统和方法接收关于产品的信息，其中这样的信息包括与每个产品相关联的一个或多个文本元数据字段，接收一组类别，并且基于每个产品所属的一组类别自动选择一个或多个类别 与每个产品相关联的一个或多个文本元数据字段中的至少一个。 机器学习分类器可以用于通过对从产品描述的文本元数据字段导出的每个产品的特征向量进行操作来自动选择每个产品所属的一个或多个类别。 可以使用一组预先分类的产品描述来训练机器学习分类器。 系统和方法生成的产品类别关联可用于将消费者的搜索引擎结果或产品建议改进。
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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.
Inventor： Shenhong Zhu , Anlei Dong , Kazuhiro Nakao , Hongbo Deng , Hui Wu
IPC: G06F17/30
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。
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公开(公告)号：US08880518B2
公开(公告)日：2014-11-04
申请号：US13662159
申请日：2012-10-26
Applicant: Yahoo! Inc.
Inventor： Yi Chang , Anlei Dong
Abstract: Techniques are described herein for enhancing the ranking products using purchase day based time windows. A purchase day based time window is a time window that is defined to include purchase days selected from a series of consecutive days. A purchase day is a day on which a product associated with the time window is purchased. The series of consecutive days includes the purchase days intermixed with non-purchase day(s). A non-purchase day is a day on which the product associated with the time window is not purchased. The purchase day based time window is further defined to not include the non-purchase day(s).
Abstract translation: 本文描述了使用基于购买日的时间窗来增强排名产品的技术。 基于购买日的时间窗口是一个时间窗口，其定义为包括从连续一天连续几天中选择的购买天数。 购买日是与时间窗口相关联的产品购买的日子。 连续一天包括与非购买日混合的购买日。 非购买日是与时间窗口关联的产品未被购买的日子。 基于购买日的时间窗口被进一步定义为不包括非购买日。
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Patent Agency Ranking
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.
Inventor： Hongbo Deng , Anlei Dong , Shenhong Zhu , Jiuhe Gan , Yi Chang
IPC: G06F17/30
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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7.发明申请公开(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.
Inventor： Amit Goyal , Lizi Zhang , Weize Kong , Hongbo Deng , Anlei Dong , Yi Chang
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。
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8.发明申请公开(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.
Inventor： Hongbo Deng , Anlei Dong , Shenhong Zhu , Jiuhe Gan , Sudarshan Lamkhede , Yi Chang
IPC: G06F17/30
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。
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公开(公告)号：US09836554B2
公开(公告)日：2017-12-05
申请号：US14265900
申请日：2014-04-30
Applicant: Yahoo! Inc.
Inventor： Hongbo Deng , Anlei Dong , Shenhong Zhu , Jiuhe Gan , Sudarshan Lamkhede , Yi Chang
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.
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公开(公告)号：US09600600B2
公开(公告)日：2017-03-21
申请号：US14265780
申请日：2014-04-30
Applicant: Yahoo! Inc.
Inventor： Alyssa Glass , Anlei Dong , Ted Eiche
CPC classification number: G06F17/3097 , G06F17/3053 , G06F17/30554 , G06F17/3064 , G06F17/30864
Abstract: Methods, systems and programming for evaluating query suggestions quality. In one example, a plurality of query suggestions are provided in a ranking to a user. A user activity with respect to one of the plurality of query suggestions is detected. A position of the one of the plurality of query suggestions in the ranking is determined. A quality measure of the plurality of query suggestions is calculated based, at least in part, on the user activity and the position of the one of the plurality of query suggestions.
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