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1. 发明授权

US10785332B2 User lifetime revenue allocation associated with provisioned content recommendations 有权
公开(公告)号：US10785332B2
公开(公告)日：2020-09-22
申请号：US16169562
申请日：2018-10-24
申请人： Outbrain Inc.
发明人： Yaron Galai , Ido Tamir , Roy Bass , Colin Doody , Yaniv Gilad , Daniel Sternlicht , Ronny Lempel , Sagiv Gurevitch , Carmel Bregman , Danny Rosenstein , Sonya Liberman , Elad Bar , Ilan Orlov
IPC分类号： G06F15/173 , H04L29/08 , H04N21/466 , H04N21/475 , H04N21/482
摘要： A personalized content recommendation provisioning method and system are described, according to various implementations. A token value allocation engine optimizes the allocation of content consumption revenue to publisher systems and recommendation source systems (e.g., the systems that provide the recommended content for presentation with the publisher system's native content) based on a model calculating and applying a life time or long term value (LTV) metric. The LTV metric for revenue is based on a detection of a how often a user system engages with content derived from or associated with a publisher system.

2. 发明授权

US10521824B1 System and method for personalized content recommendations 有权
公开(公告)号：US10521824B1
公开(公告)日：2019-12-31
申请号：US14146279
申请日：2014-01-02
申请人： Outbrain Inc.
发明人： Shlomy Boshy , Yaron Galai
IPC分类号： G06Q30/02
摘要： Identifying personalized content recommendations for users in an electronic environment is disclosed. User data comprising information relating to web-based content consumption of multiple users is collected. Multiple user cluster types associated with one or more interest categories are established. A feature vector is generated for each user for each of the multiple user cluster types. Based on the generated feature vectors, the user are grouped into multiple clusters. A grade is generated for each of a plurality of candidate recommendations for each of the clusters. Based on the generated grades, one or more personalized content recommendations for each of the clusters are identified.

3. 发明授权

US10304081B1 Yielding content recommendations based on serving by probabilistic grade proportions 有权
公开(公告)号：US10304081B1
公开(公告)日：2019-05-28
申请号：US13956865
申请日：2013-08-01
申请人： Outbrain Inc.
发明人： Shlomy Boshy , Yatir Ben Shlomo , Yaron Galai
IPC分类号： G06Q30/02
摘要： A server computer system identifies a user and a destination document. The server computer system identifies recommendations that correspond to the user and the destination document. The server computer system determines grades for the recommendations based on the user and/or the destination document. The server computer system determines serving probabilities for the recommendations based on the proportions of the grades and provides the serving probabilities to serve the recommendations.

4. 发明授权

US10693981B2 Provisioning personalized content recommendations 有权
公开(公告)号：US10693981B2
公开(公告)日：2020-06-23
申请号：US16119262
申请日：2018-08-31
申请人： Outbrain Inc.
发明人： Yaron Galai , Roy Bass , Colin Doody , Yaniv Gilad , Daniel Stern Sternlicht , Ido Tamir
IPC分类号： G06F15/16 , H04L29/08 , G06Q30/02 , G06F16/9535 , G06Q50/00
摘要： A personalized content recommendation provisioning method and system are described, according to various implementations. In an implementation, a user profile is established for each of multiple users within an electronic data environment (e.g., the Internet). The user profile may include information collected via a registration of the user and information identifying content consumed by the user based at least in part on information collected by an associated tracking cookie. The user profile may be used to generate a personalized grade associated with each of multiple candidate content recommendations in a high-quality candidate content recommendation pool, determine a content recommendation scope associated with a user in view of a personalized grade associated with each of the plurality of candidate content recommendations, and display the content recommendation scope to the user.

5. 发明授权

US10354274B2 System and method for providing feed-based advertisements 有权
公开(公告)号：US10354274B2
公开(公告)日：2019-07-16
申请号：US13676471
申请日：2012-11-14
申请人： Outbrain Inc.
发明人： Yaron Galai , David Sasson , Itai Hochman , Amit Elisha
IPC分类号： G06Q30/00 , G06Q30/02
摘要： A server computer receives data indicating a data feed to use to create a feed-based advertisement to represent content, which is to be advertised, of a content provider. The server computer receives the data feed that is associated with the content to be advertised and generates the feed-based advertisement using one or more data elements associated with an item in the data feed. The server computer provides the feed-based advertisement to a user device.

6. 发明授权

US09324028B1 Collaborative filtering of content recommendations 有权
标题翻译：内容推荐的协同过滤
公开(公告)号：US09324028B1
公开(公告)日：2016-04-26
申请号：US14193900
申请日：2014-02-28
申请人： Outbrain Inc.
发明人： Shlomy Boshy , Yaron Galai
IPC分类号： G06Q30/00 , G06N5/04 , G06N99/00
CPC分类号： G06N5/04 , G06F17/30867 , G06N99/005
摘要： Identifying collaboratively filtered content recommendations based on user activity data collected from users in an electronic environment is disclosed. The user activity data includes information relating to user-engagement indications of the users. Multiple connection pairs are identified based on the user activity data, with each connection pair including a potential target document and a candidate recommendation document. A connection strength is determined for each of the identified connection pairs. An overall grade is generated for a set of candidate connection pairs of the plurality of connection pairs, wherein the overall grade is based on the respective connection strength associated with each of the set of candidate connection pairs. One or more filtered recommendations for provisioning in connection with the target document based on a comparison of the overall grade associated with each of the set of candidate connection pairs.
摘要翻译：公开了基于在电子环境中从用户收集的用户活动数据来识别协作过滤的内容推荐。用户活动数据包括与用户的用户参与指示有关的信息。基于用户活动数据识别多个连接对，每个连接对包括潜在目标文档和候选推荐文档。确定每个所识别的连接对的连接强度。针对多个连接对的一组候选连接对产生整体等级，其中总体等级基于与该组候选连接对中的每一个相关联的相应连接强度。基于与所述一组候选连接对中的每一个相关联的总体等级的比较，与目标文档相关地配置的一个或多个过滤的建议。

7. 发明申请

US20130132191A1 SYSTEM AND METHOD FOR PROVIDING FEED-BASED ADVERTISEMENTS 审中-公开
标题翻译：用于提供基于供给的广告系统和方法
公开(公告)号：US20130132191A1
公开(公告)日：2013-05-23
申请号：US13676471
申请日：2012-11-14
申请人： Outbrain Inc.
发明人： Yaron Galai , David Sasson , Itai Hochman , Amit Elisha
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0251
摘要： A server computer receives data indicating a data feed to use to create a feed-based advertisement to represent content, which is to be advertised, of a content provider. The server computer receives the data feed that is associated with the content to be advertised and generates the feed-based advertisement using one or more data elements associated with an item in the data feed. The server computer provides the feed-based advertisement to a user device.
摘要翻译：服务器计算机接收指示用于创建基于馈送的广告以表示内容提供商将被通告的内容的数据馈送的数据。服务器计算机接收与要发布的内容相关联的数据馈送，并且使用与数据馈送中的项目相关联的一个或多个数据元素来生成基于馈送的广告。服务器计算机向用户设备提供基于馈送的广告。

8. 发明授权

US10165069B2 Provisioning personalized content recommendations 有权
公开(公告)号：US10165069B2
公开(公告)日：2018-12-25
申请号：US14657457
申请日：2015-03-13
申请人： Outbrain Inc.
发明人： Yaron Galai , Roy Bass , Colin Doody , Yaniv Gilad , Daniel Sternlicht , Ido Tamir
IPC分类号： G06F15/173 , H04L29/08 , G06F17/30 , G06Q30/02 , G06Q50/00
摘要： A personalized content recommendation provisioning method and system are described, according to various implementations. In an implementation, a user profile is established for each of multiple users within an electronic data environment (e.g., the Internet). The user profile may include information collected via a registration of the user and information identifying content consumed by the user based at least in part on information collected by an associated tracking cookie. The user profile may be used to generate a personalized grade associated with each of multiple candidate content recommendations in a high-quality candidate content recommendation pool, determine a content recommendation scope associated with a user in view of a personalized grade associated with each of the plurality of candidate content recommendations, and display the content recommendation scope to the user.

9. 发明授权

US09432471B1 Recommendation source-related user activity calculator 有权
标题翻译：推荐与源相关的用户活动计算器
公开(公告)号：US09432471B1
公开(公告)日：2016-08-30
申请号：US14266171
申请日：2014-04-30
申请人： Outbrain Inc.
发明人： Shlomy Boshy , Yaron Galai
IPC分类号： G06F15/16 , H04L29/08
CPC分类号： H04L67/22 , G06F17/30035 , G06F17/30702 , G06F17/30867 , H04L67/02 , H04L67/14
摘要： Identifying impressions relating to a target publisher that are related to or derived from a user interaction with a content recommendation source. User activity data for multiple users is collected during an activity window. Based on the collected user activity data, an initial interaction by a user with a source is identified and used to establish a source-related user session beginning at a time of the initial interaction and ending after a session period. A set of impressions (e.g., page views) by the user relating to the target publisher occurring during the user session is identified. The identified set of impressions is associated with the user session. A source-related user activity measurement is calculated based on the identified user sessions and associated impressions occurring during the activity window.
摘要翻译：识别与用户与内容推荐来源进行交互相关或衍生自与目标发布商相关的展示。在活动窗口中收集多个用户的用户活动数据。基于收集的用户活动数据，识别由用户与源的初始交互，并用于建立源初始交互时开始的源相关用户会话，并在会话周期结束。标识由用户在用户会话期间发生的与目标发布者相关的一组展示（例如，页面浏览）。所识别的一组展示与用户会话相关联。基于与活动窗口中发生的识别的用户会话和相关联的印象，计算与源相关的用户活动度量。

10. 发明申请

US20150269488A1 PROVISIONING PERSONALIZED CONTENT RECOMMENDATIONS 审中-公开
标题翻译：提供个性化内容建议
公开(公告)号：US20150269488A1
公开(公告)日：2015-09-24
申请号：US14657457
申请日：2015-03-13
申请人： Outbrain Inc.
发明人： Yaron Galai , Roy Bass , Colin Doody , Yaniv Gilad , Daniel Sternlicht , Ido Tamir
IPC分类号： G06N5/04 , H04L29/08
CPC分类号： H04L67/22 , G06F17/30867 , G06Q30/02 , G06Q50/01 , H04L67/306
摘要： A personalized content recommendation provisioning method and system are described, according to various implementations. In an implementation, a user profile is established for each of multiple users within an electronic data environment (e.g., the Internet). The user profile may include information collected via a registration of the user and information identifying content consumed by the user based at least in part on information collected by an associated tracking cookie. The user profile may be used to generate a personalized grade associated with each of multiple candidate content recommendations in a high-quality candidate content recommendation pool, determine a content recommendation scope associated with a user in view of a personalized grade associated with each of the plurality of candidate content recommendations, and display the content recommendation scope to the user.
摘要翻译：根据各种实现来描述个性化内容推荐配置方法和系统。在实现中，为电子数据环境（例如，因特网）内的多个用户中的每一个建立用户简档。用户简档可以包括经由用户的注册收集的信息和至少部分地基于由相关联的跟踪cookie收集的信息来标识用户所消费的内容的信息。用户简档可以用于生成与高质量候选内容推荐池中的多个候选内容推荐中的每一个相关联的个性化等级，根据与多个候选内容推荐池中的每个相关联的个性化等级，确定与用户相关联的内容推荐范围的候选内容建议，并向用户显示内容推荐范围。

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