公开(公告)号：US20170154356A1

公开(公告)日：2017-06-01

申请号：US14954118

申请日：2015-11-30

申请人： Yahoo! Inc.

发明人： Michele Trevisiol ,  Gabriele Tolomei ,  Nicola Barbieri ,  Mounia Lalmas ,  Puneet Mohan Sangal ,  Fabrizio Silvestri

IPC分类号： G06Q30/02

摘要： An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.

公开(公告)号：US09971972B2

公开(公告)日：2018-05-15

申请号：US14586635

申请日：2014-12-30

申请人： Yahoo! Inc.

发明人： Fabrizio Silvestri ,  Ricardo Baeza-Yates ,  Beverly Harrison ,  Di Jiang

IPC分类号： H04M3/00 ,  G06N99/00 ,  H04L29/08 ,  H04W4/02 ,  H04W4/20

CPC分类号： G06N99/005 ,  H04L67/22 ,  H04W4/029 ,  H04W4/20

摘要： In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context, wherein the computer-generated model is associated with the mobile device. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

公开(公告)号：US20160189049A1

公开(公告)日：2016-06-30

申请号：US14586635

申请日：2014-12-30

申请人： Yahoo! Inc.

发明人： Fabrizio Silvestri ,  Ricardo Baeza-Yates ,  Beverly Harrison ,  Di Jiang

IPC分类号： G06N7/00 ,  G06N99/00 ,  H04W88/02

CPC分类号： G06N99/005 ,  H04L67/22 ,  H04W4/029 ,  H04W4/20

摘要： In one embodiment, a current context of a mobile device may be ascertained, where the current context includes an indication of a last application opened via the mobile device, wherein the last application opened is one of a plurality of applications installed on the mobile device. A probability, for each of the plurality of applications, that a user of the mobile device will use the corresponding application under the current context may be determined, where the probability for at least a portion of the plurality of applications is determined by applying a computer-generated model to the current context, wherein the computer-generated model is associated with the mobile device. One or more of the plurality of the applications may be identified based, at least in part, upon the probability, for each one of the plurality of applications, that the user of the mobile device will use the corresponding application.

摘要翻译： 在一个实施例中，可以确定移动设备的当前上下文，其中当前上下文包括通过移动设备打开的最后一个应用的指示，其中打开的最后一个应用是安装在移动设备上的多个应用中的一个。 可以针对多个应用程序中的每个应用程序确定移动设备的用户将在当前上下文下使用相应应用的概率，其中通过应用计算机来确定多个应用的​​至少一部分的概率 生成的模型与当前上下文相关联，其中计算机生成的模型与移动设备相关联。 至少部分地，可以基于多个应用中的每个应用的概率来识别多个应用中的一个或多个，即移动设备的用户将使用相应的应用。

公开(公告)号：US20160125028A1

公开(公告)日：2016-05-05

申请号：US14533405

申请日：2014-11-05

申请人： Yahoo! Inc.

发明人： Fabrizio Silvestri ,  Mihajlo Grbovic ,  Narayan Bhamidipati ,  Vladan Radosavljevic ,  Nemanja Djuric

IPC分类号： G06F17/30

CPC分类号： G06F16/3338

摘要： Systems and methods for rewriting query terms are disclosed. The system collects queries and query session data and separates the queries into sequences of queries having common sessions. The sequences of queries are then input into a deep learning network to build a multidimensional word vector in which related terms are nearer one another than unrelated terms. An input query is then received and the system matches the input query in the multidimensional word vector and rewrites the query using the nearest neighbors to the term of the input query.

摘要翻译： 披露了用于重写查询术语的系统和方法。 系统收集查询并查询会话数据，并将查询分成具有公共会话的查询序列。 然后将查询序列输入到深度学习网络中以建立多维词向量，其中相关词相对于无关术语彼此更接近。 然后接收输入查询，并且系统与多维字向量中的输入查询匹配，并使用输入查询项中的最近邻居重写查询。

公开(公告)号：US20160012055A1

公开(公告)日：2016-01-14

申请号：US14504386

申请日：2014-10-01

申请人： Yahoo! Inc.

发明人： Xiao Bai ,  B. Barla Cambazoglu ,  Francesco Gullo ,  Amin Mantrach ,  Fabrizio Silvestri

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/30029 ,  G06F17/30522 ,  G06F17/3053 ,  G06F17/30699 ,  G06F17/30873 ,  G06Q50/01

摘要： Software running on servers at a website hosting a news service generates a first profile for a user of the news service. The first profile is based at least in part on implicit relevance feedback from the user on content presented by the news service. The software obtains a second profile for the user from a web-searching service. The software creates a score for a candidate item of content. The score is based on similarity of the candidate item to the first profile and similarity of the candidate item to the second profile. Similarity to the second profile measures at least similarity to a plurality of web-search queries and similarity to any titles of any search results resulting from each of the queries. The software then presents the item of content to the user in a content stream served by the news service, based on the score.

摘要翻译： 在托管新闻服务的网站的服务器上运行的软件为新闻服务的用户生成第一个简档。 第一个配置文件至少部分地基于来自用户对由新闻服务呈现的内容的隐含的相关性反馈。 软件从网页搜索服务获取用户的第二个配置文件。 该软件为候选项目的内容创建分数。 分数基于候选项与第一简档的相似性以及候选项与第二简档的相似度。 与第二简档的相似性至少测量与多个网络搜索查询的相似性，并且与每个查询产生的任何搜索结果的任何标题的相似性。 然后，该软件基于该分数将新闻服务所提供的内容流中的内容的内容呈现给用户。