公开(公告)号：US20160335263A1

公开(公告)日：2016-11-17

申请号：US14959122

申请日：2015-12-04

Applicant: Yahoo! Inc.

Inventor： Dawei Yin ,  Pengyuan Wang ,  Hua Ouyang ,  Yi Chang ,  Jean-Marc Langlois

IPC: G06F17/30

CPC classification number: G06F16/24578 ,  G06F16/9535

Abstract: The present teaching relates to ranking search content. In one example, a plurality of documents is received to be ranked with respect to a query. Features are extracted from the query and the plurality of documents. The plurality of documents is ranked based on a ranking model and the extracted features. The ranking model is derived to remove one or more documents from the plurality of documents that are less relevant to the query and order remaining documents based on their relevance to the query. The ordered remaining documents are provided as a search result with respect to the query.

Abstract translation: 本教学涉及排名搜索内容。 在一个示例中，接收到相对于查询进行排名的多个文档。 从查询和多个文档中提取特征。 基于排名模型和提取的特征来对多个文档进行排名。 导出排序模型，以从多个文档中删除与查询相关性较低的一个或多个文档，并根据其与查询的相关性来订购剩余的文档。 订购的剩余文件作为查询的搜索结果提供。

公开(公告)号：US20160055320A1

公开(公告)日：2016-02-25

申请号：US14466470

申请日：2014-08-22

Applicant: Yahoo! Inc.

Inventor： Pengyuan Wang ,  Jian Yang ,  Marsha Meytlis ,  Fei Yu

IPC: G06F19/00

CPC classification number: G16H15/00 ,  G16H50/70

Abstract: Methods, systems and programming for measuring user treatment effectiveness. First information related to activities of each user in a first user set in response to a first treatment is received. Second information related to activities of each user in a second user set in response to a second treatment is received. A model with respect to features is obtained based on the first and second information. Each user is associated with the features. A weighing factor for each user is estimated based on the model and each user's features. A first success rate is computed based on the first information and the weighting factors for each user in the first user set. A second success rate is computed based on the second information and the weighting factors for each user in the second user set. A metric of effectiveness is measured based on the first and second success rates.

Abstract translation: 测量用户治疗效果的方法，系统和程序。 接收与第一用户响应于第一处理的每个用户的活动有关的第一信息。 接收与第二用户响应于第二处理的每个用户的活动有关的第二信息。 基于第一和第二信息获得关于特征的模型。 每个用户与功能相关联。 根据模型和每个用户的特征估算每个用户的称重系数。 基于第一用户集合中的每个用户的第一信息和加权因子来计算第一成功率。 基于第二用户集合中的每个用户的第二信息和加权因子来计算第二成功率。 有效性的度量是根据第一个和第二个成功率来衡量的。