公开(公告)号：US20150039426A1

公开(公告)日：2015-02-05

申请号：US14043800

申请日：2013-10-01

Applicant: Yahoo! Inc.

Inventor： Supreeth Rao

IPC: G06Q30/02

CPC classification number: G06Q30/0273 ,  G06Q30/0247 ,  G06Q30/0255 ,  G06Q30/0256

Abstract: A revenue share analysis module can determine individual session revenues for content items provided by content providers. The module can also determine total session content revenues for each of the content items according to the determined individual session revenues, and determine respective content values for each of the content items according to the determined total session revenues for each of the content items. It also may determine total session provider revenues for each of the content providers according to the determined total session revenues for each of the content items, and determine respective provider values for each of the content providers according to the determined total session revenues for each of the content providers. Also, it can determine revenue share offers according to the content values and/or the provider values.

Abstract translation: 收入分成分析模块可以确定由内容提供商提供的内容项目的个人会话收入。 该模块还可以根据确定的单独会话收入来确定每个内容项目的总会话内容收入，并且根据所确定的每个内容项目的总会话收入来确定每个内容项目的相应内容值。 它还可以根据确定的每个内容项目的总会话收入来确定每个内容提供商的总会话提供商收入，并且根据所确定的每个内容提供商的总会话收入来确定每个内容提供商的相应提供商值 内容提供商。 此外，它可以根据内容值和/或提供者值确定收入分成报价。

公开(公告)号：US20140344281A1

公开(公告)日：2014-11-20

申请号：US13895981

申请日：2013-05-16

Applicant: Yahoo! Inc.

Inventor： Supreeth Rao ,  Aditi Sinha

IPC: H04L29/08 ,  G06F17/30

CPC classification number: G06F17/3089 ,  G06F17/30321 ,  G06F17/30864 ,  H04L67/02 ,  H04L67/22

Abstract: A system may measure the virality of content items on a network. The virality may be measured for Internet content using indices. Indices may be generated that represent the share or news worthiness of content. An indexer may monitor the content items and generate a score which may be used to identify which content items are most likely to receive a user access request or referral from the remote server. A logic generator may display visual elements as graphical representations of the index score.

Abstract translation: 系统可以测量网络上内容项的病毒性。 可以使用指数来衡量互联网内容的病毒性。 可能会产生代表内容的份额或新闻价值的指标。 索引器可以监视内容项目并生成可用于识别哪些内容项最有可能从远程服务器接收用户访问请求或引用的分数。 逻辑生成器可以将视觉元素显示为索引得分的图形表示。

公开(公告)号：US20160014060A1

公开(公告)日：2016-01-14

申请号：US14329489

申请日：2014-07-11

Applicant: Yahoo! Inc.

Inventor： Sudharsan Vasudevan ,  Mayukh Bhaowal ,  Binu Ramakrishnan ,  Supreeth Rao

IPC: H04L12/58

CPC classification number: H04L51/14 ,  H04L51/32

Abstract: Techniques are provided that include displaying an offer for an interest-based content subscription on an email application Web site, the offer being selectable and displayed in a native format of the email application, and, upon receiving an indication that the offer has been selected by a user, generating an interest-based content subscription without directing a browser application away from the email application Web site. According to some such arrangements, generating the interest-based content subscription may include contacting a third-party Web site associated with the offer, and communicating at least one of an actual identification and a disposable identification of the user to the third-party Web site. The interest-based content subscription may be limited based on at least one of a time duration and a frequency parameter.

Abstract translation: 提供了技术，其包括在电子邮件应用程序网站上显示基于兴趣的内容订阅的提议，该提议是可选择的并且以电子邮件应用的本机格式显示，并且在接收到通过以下方式选择了该提议的指示 用户，生成基于兴趣的内容订阅，而不指示浏览器应用远离电子邮件应用程序网站。 根据一些这样的安排，生成基于兴趣的内容订阅可以包括联系与提供相关联的第三方网站，并将用户的实际标识和一次性标识中的至少一个传达到第三方网站 。 基于兴趣的内容订阅可以基于持续时间和频率参数中的至少一个来限制。

公开(公告)号：US20150039420A1

公开(公告)日：2015-02-05

申请号：US14043778

申请日：2013-10-01

Applicant: Yahoo! Inc.

Inventor： Supreeth Rao ,  Nikhil Mishra ,  Ramesh Palavanchu ,  Hardik Vaghela ,  Sameer Raheja

IPC: G06Q30/02

CPC classification number: G06Q30/0273 ,  G06Q30/0247 ,  G06Q30/0255 ,  G06Q30/0256

Abstract: A system can include a server that includes or is associated with a revenue analysis module. The module can be configured to receive user web browsing session data from a data source. The session data may include page view data, page interaction data, and page referral data. The module may also be configured to determine page referral events, revenue generating events, and relationships between the page referral events and the revenue generating events, according to at least part of the session data. The revenue generating events may include events in which a user interaction with the webpage generates revenue. The module may also be configured to determine revenue generated by the revenue generating events per page referral event of the page referral events, according to the relationships between the page referral events and the revenue generating events.

Abstract translation: 系统可以包括包括收入分析模块或与收入分析模块相关联的服务器。 该模块可以被配置为从数据源接收用户web浏览会话数据。 会话数据可以包括页面浏览数据，页面交互数据和页面引用数据。 该模块还可以被配置为根据会话数据的至少一部分来确定页面推荐事件，收入生成事件以及页面推荐事件和收入生成事件之间的关系。 创收事件可能包括用户与网页的互动产生收入的事件。 该模块还可以被配置为根据页面推荐事件和收入生成事件之间的关系来确定页面引用事件的每页引用事件的收入生成事件产生的收入。

公开(公告)号：US09990436B2

公开(公告)日：2018-06-05

申请号：US14880701

申请日：2015-10-12

Applicant: Yahoo!, Inc.

Inventor： Supreeth Rao ,  Sudharsan Vasudevan ,  Gopal Mor ,  Utkarsh Shrivastava

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/30477 ,  G06F17/30528 ,  G06F17/3053

Abstract: A system and method for generating a personalized trends module includes steps of: for a given user, producing a social timeline by logging content posted on the given user's accounts on social media sites; analyzing the social timeline for recently posted content to derive an interim summary of first trending topics for the given user; receiving from a content personalization platform an in-stream feed of second trending topics based on the user's recent on-line activity including page views, queries, and clicks; augmenting the social timeline with the second trending topics from the in-stream feed to produce an interim list of third trending topics; ranking the third trending topics by source category using a frequency index; selecting the highest ranking third trending topics from each source category; and presenting a personalized trends module with positions allocated to the highest ranking third trending topics.

公开(公告)号：US09661100B2

公开(公告)日：2017-05-23

申请号：US14320620

申请日：2014-06-30

Applicant: Yahoo! Inc.

Inventor： Supreeth Rao ,  Sundeep Narravula ,  Shivakumar Ningappa

IPC: G06F15/16 ,  H04L29/08 ,  G06F17/30 ,  H04N21/25 ,  H04N21/258 ,  H04N21/2668 ,  H04N21/81 ,  H04N21/8352 ,  H04N21/858

CPC classification number: H04L67/32 ,  G06F17/30893 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/812 ,  H04N21/8352 ,  H04N21/8586

Abstract: Software on a content-aggregation website obtains a resource associated with a podcast from a website publishing the podcast and stores it e resource on the content-aggregation website. The software adds the resource as a leaf node to a taxonomy generated by the content-aggregation website. The addition is based on data associated with the podcast. The non-leaf nodes in the taxonomy are categories of content. The software determines that a user of the content-aggregation website is qualified as to at least one category that includes the resource as a leaf node. The determination is based at least in part on feedback from the user that includes a viewing or listening history for the user. Then the software serves the resource to the user in a content stream published by the content-aggregation website, based at least in part on a personalization score associated with the resource.

公开(公告)号：US20160050254A1

公开(公告)日：2016-02-18

申请号：US14460016

申请日：2014-08-14

Applicant: YAHOO! INC.

Inventor： Supreeth Rao ,  Sudharsan Vasudevan ,  Seema Kamath ,  Swapnil Patel ,  Utkarsh Shrivastava ,  Varun Bhagwan ,  Kaushal Kurapati ,  Patrick Mason

IPC: H04L29/08 ,  H04L12/58 ,  G06F3/0484

CPC classification number: H04L51/04 ,  G06F3/0481 ,  G06Q10/00 ,  H04L51/22

Abstract: A cross-device messaging integration capability is disclosed, which allows a user using a first device to indicate, using a first user computing device, an intent to perform one or more messaging actions at one or more second user computing device(s). The first and second devices may be different devices. The user may receive a reminder or other notification of the user's intent at the second device(s).

Abstract translation: 公开了跨设备消息收发集成能力，其允许使用第一设备的用户使用第一用户计算设备来指示在一个或多个第二用户计算设备上执行一个或多个消息收发动作的意图。 第一和第二装置可以是不同的装置。 用户可以在第二设备处接收用户意图的提醒或其他通知。

公开(公告)号：US20160034592A1

公开(公告)日：2016-02-04

申请号：US14880701

申请日：2015-10-12

Applicant: Yahoo!, Inc.

Inventor： Supreeth Rao ,  Sudharsan Vasudevan ,  Gopal Mor ,  Utkarsh Shrivastava

IPC: G06F17/30

CPC classification number: G06F17/30867 ,  G06F17/30477 ,  G06F17/30528 ,  G06F17/3053

Abstract: A system and method for generating a personalized trends module includes steps of: for a given user, producing a social timeline by logging content posted on the given user's accounts on social media sites; analyzing the social timeline for recently posted content to derive an interim summary of first trending topics for the given user; receiving from a content personalization platform an in-stream feed of second trending topics based on the user's recent on-line activity including page views, queries, and clicks; augmenting the social timeline with the second trending topics from the in-stream feed to produce an interim list of third trending topics; ranking the third trending topics by source category using a frequency index; selecting the highest ranking third trending topics from each source category; and presenting a personalized trends module with positions allocated to the highest ranking third trending topics.

公开(公告)号：US20150381682A1

公开(公告)日：2015-12-31

申请号：US14320620

申请日：2014-06-30

Applicant: Yahoo! Inc.

Inventor： Supreeth Rao ,  Sundeep Narravula ,  Shivakumar Ningappa

IPC: H04L29/06 ,  H04L29/08 ,  G06F17/30

CPC classification number: H04L67/32 ,  G06F17/30893 ,  H04N21/251 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/812 ,  H04N21/8352 ,  H04N21/8586

Abstract: Software on a content-aggregation website obtains a resource associated with a podcast from a website publishing the podcast and stores it e resource on the content-aggregation website. The software adds the resource as a leaf node to a taxonomy generated by the content-aggregation website. The addition is based on data associated with the podcast. The non-leaf nodes in the taxonomy are categories of content. The software determines that a user of the content aggregation website is qualified as to at least one category that includes the resource as a leaf node. The determination is based at least in part on feedback from the user that includes a viewing or listening history for the user. Then the software serves the resource to the user in a content stream published by the content-aggregation website, based at least in part on a personalization score associated with the resource.

Abstract translation: 内容聚合网站上的软件从发布播客的网站获取与播客相关的资源，并将其存储在内容聚合网站上。 该软件将资源作为叶节点添加到由内容聚合网站生成的分类法。 该添加是基于与播客相关联的数据。 分类中的非叶节点是内容的类别。 该软件确定内容聚合网站的用户对包含作为叶节点的资源的至少一个类别进行限定。 该确定至少部分地基于来自用户的反馈，其包括用户的观看或收听历史。 然后，该软件至少部分地基于与资源相关联的个性化分数，向内容聚合网站发布的内容流中的用户提供资源。

公开(公告)号：US20150066646A1

公开(公告)日：2015-03-05

申请号：US14470704

申请日：2014-08-27

Applicant: Yahoo! Inc.

Inventor： Ram Sriharsha ,  Tim Tully ,  Supreeth Rao ,  Reynold Xin

IPC: G06Q30/02

CPC classification number: G06Q30/0256

Abstract: An advertising and data analysis platform may need to mine through vast amounts of data to come up with insights into advertising effectiveness, and measure and improve the effectiveness of advertising reach. Distributed network data analytics may be applied to ad matching/targeting, such that an in-memory cluster computing environment may be used with advertising data. For example, HADOOP may be utilized for distributed processing of the vast amounts of data and the HADOOP distributed file system (HDFS) is used for organizing communications and storage of that data. Satellite clusters or nodes may be generated that also utilize HDFS. For example, a SPARK or SHARK satellite cluster may be arranged to further utilize the HDFS of the HADOOP clusters.

Abstract translation: 广告和数据分析平台可能需要通过大量数据挖掘广告效果，并衡量和提高广告覆盖的有效性。 分布式网络数据分析可以应用于广告匹配/定位，使得内存中集群计算环境可以与广告数据一起使用。 例如，HADOOP可用于大量数据的分布式处理，并且HADOOP分布式文件系统（HDFS）用于组织该数据的通信和存储。 可以生成也利用HDFS的卫星群集或节点。 例如，可以安排SPARK或SHARK卫星簇来进一步利用HADOOP簇的HDFS。