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1. 发明授权

US11094021B2 Predicting latent metrics about user interactions with content based on combination of predicted user interactions with the content 有权
公开(公告)号：US11094021B2
公开(公告)日：2021-08-17
申请号：US15174865
申请日：2016-06-06
申请人： Facebook, Inc.
发明人： Robert Oliver Burns Zeldin , Nathan John Davis , Anand Sumatilal Bhalgat , Harsh Doshi , Hao Song
IPC分类号： G06Q50/00 , G06Q30/08
摘要： An online system presenting content items to a user generates a model that predicts a latent metric describing user actions that occur at least a reasonable amount of time after presentation of content items. To determine the latent metric, the online system retrieves one or more models predicting likelihoods of the user performing various interactions when presented with the content items and determines weights associated with different retrieved models. Combining the weighted retrieved models generates a model for determining the latent metric. As the retrieved models are based on data accessible to the online system in less than the reasonable amount of time after presenting content items, weighing the retrieved models allows the online system to predict the latent metric describing user actions occurring after content items are presented. When selecting content items for the user, the online system accounts for the latent metric determined by the generated model.

2. 发明申请

US20170193555A1 SELECTING CONTENT FOR PRESENTATION TO AN ONLINE SYSTEM USER TO INCREASE LIKELIHOOD OF USER RECALL OF THE PRESENTED CONTENT 审中-公开
公开(公告)号：US20170193555A1
公开(公告)日：2017-07-06
申请号：US14986675
申请日：2016-01-02
申请人： Facebook, Inc.
发明人： Nathan John Davis , Chinmay Deepak Karande , David Rael Abelman , Robert Oliver Burns Zeldin
IPC分类号： G06Q30/02 , G06F17/30 , H04L29/08
CPC分类号： G06Q30/0264 , G06F17/30867 , H04L67/10 , H04L67/22 , H04L67/306
摘要： An online system selects content items for a user to increase probabilities of the user remembering the content items after presentation. The online system generates one or more models based on information describing amounts of time users have viewed previously presented content items. Hence, a model associated with a user predicts an amount of time the user will view a content item. When selecting content items for the user, the online system selects one or more content items that the user is predicted to view for an amount of time within a specific range, which may be based on amounts of times other users have viewed the content item or content items similar to the content item. For example, the online system increases a probability of selecting a content item the user is predicted to view for an amount of time within the specific range.

3. 发明申请

US20170068987A1 Measuring Advertisement Lift 审中-公开
标题翻译：测量广告提升
公开(公告)号：US20170068987A1
公开(公告)日：2017-03-09
申请号：US14847070
申请日：2015-09-08
申请人： Facebook, Inc.
发明人： Michael Daniel Levinson , William Bullock , Nathan John Davis , Chinmay Deepak Karande
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0246 , G06Q30/0275
摘要： An advertisement system measures an ad lift metric for advertisement campaigns, which indicates the increase in conversions that can be attributed to the advertisement campaign. As impression opportunities become available for users for the ad in the lift study, the advertisement system determines whether the user is in a test group or a control group. To limit bias in the lift study, rather than holding out ads from being provided to users after the ad has been selected for the user and right before the impression, the system holds out the ads at a higher level in the ad selection process. In this manner, not all test group users receive the advertisement. The system computes the lift metric as e.g., the incremental lift (difference between conversion rates in the test and control groups), and this is divided by conversion rate of an exposed target group minus the incremental lift.
摘要翻译：广告系统衡量广告活动的广告提升度量，这表明可以归因于广告活动的转化次数增加。由于电梯研究中的广告的用户可以看到展示机会，所以广告系统确定用户是否在测试组或对照组中。为了限制电梯研究中的偏见，而不是在为用户选择广告并在展示之前提供给用户，而是在广告选择过程中将广告提升到更高级别。以这种方式，并非所有测试组用户都收到广告。系统计算升力量度，例如增量提升（测试和控制组中转换率之间的差异），并将其除以暴露目标组的转化率减去增量提升。

4. 发明授权

US10425687B1 Systems and methods for determining television consumption behavior 有权
公开(公告)号：US10425687B1
公开(公告)日：2019-09-24
申请号：US15728792
申请日：2017-10-10
申请人： Facebook, Inc.
发明人： Timon Arya Karnezos , Nathan John Davis
IPC分类号： H04N21/442 , H04N21/466 , H04N21/422 , H04N21/4223 , G06K9/00 , H04N21/81
摘要： In one embodiment, a method includes determining television content that a particular user is currently watching on a television and determining, using one or more sensors, an attention level for the particular user. The attention level indicates an amount of attention paid by the particular user to the television content. The method further includes generating an attention profile for the television content by aggregating the particular user's attention level for the television content with stored information associated with a plurality of other users about the television content. The attention profile indicates a number of users who paid attention to the television content. The method further includes determining digital content available on a social-networking system that is related to the television content and providing a comparison of the number of users who paid attention to the television content with engagement on the social-networking system with the related digital content.

5. 发明授权

US10108983B2 Selecting content for presentation to an online system user to increase likelihood of user recall of the presented content 有权
公开(公告)号：US10108983B2
公开(公告)日：2018-10-23
申请号：US14986675
申请日：2016-01-02
申请人： Facebook, Inc.
发明人： Nathan John Davis , Chinmay Deepak Karande , David Rael Abelman , Robert Oliver Burns Zeldin
IPC分类号： G06Q30/00 , G06Q30/02 , H04L29/08 , G06F17/30
摘要： An online system selects content items for a user to increase probabilities of the user remembering the content items after presentation. The online system generates one or more models based on information describing amounts of time users have viewed previously presented content items. Hence, a model associated with a user predicts an amount of time the user will view a content item. When selecting content items for the user, the online system selects one or more content items that the user is predicted to view for an amount of time within a specific range, which may be based on amounts of times other users have viewed the content item or content items similar to the content item. For example, the online system increases a probability of selecting a content item the user is predicted to view for an amount of time within the specific range.

6. 发明授权

US10755311B1 Selecting content for presentation to an online system user to increase likelihood of user recall of the presented content 有权
公开(公告)号：US10755311B1
公开(公告)日：2020-08-25
申请号：US16133613
申请日：2018-09-17
申请人： Facebook, Inc.
发明人： Nathan John Davis , Chinmay Deepak Karande , David Rael Abelman , Robert Oliver Burns Zeldin
IPC分类号： G06Q30/00 , G06Q30/02 , H04L29/08 , G06F16/9535
摘要： An online system selects content items for a user to increase probabilities of the user remembering the content items after presentation. The online system generates one or more models based on information describing amounts of time users have viewed previously presented content items. Hence, a model associated with a user predicts an amount of time the user will view a content item. When selecting content items for the user, the online system selects one or more content items that the user is predicted to view for an amount of time within a specific range, which may be based on amounts of times other users have viewed the content item or content items similar to the content item. For example, the online system increases a probability of selecting a content item the user is predicted to view for an amount of time within the specific range.

7. 发明申请

US20170352109A1 PREDICTING LATENT METRICS ABOUT USER INTERACTIONS WITH CONTENT BASED ON COMBINATION OF PREDICTED USER INTERACTIONS WITH THE CONTENT 审中-公开
公开(公告)号：US20170352109A1
公开(公告)日：2017-12-07
申请号：US15174865
申请日：2016-06-06
申请人： Facebook, Inc.
发明人： Robert Oliver Burns Zeldin , Nathan John Davis , Anand Sumatilal Bhalgat , Harsh Doshi , Hao Song
IPC分类号： G06Q50/00 , G06Q30/08
CPC分类号： G06Q50/01 , G06Q30/08
摘要： An online system presenting content items to a user generates a model that predicts a latent metric describing user actions that occur at least a reasonable amount of time after presentation of content items. To determine the latent metric, the online system retrieves one or more models predicting likelihoods of the user performing various interactions when presented with the content items and determines weights associated with different retrieved models. Combining the weighted retrieved models generates a model for determining the latent metric. As the retrieved models are based on data accessible to the online system in less than the reasonable amount of time after presenting content items, weighing the retrieved models allows the online system to predict the latent metric describing user actions occurring after content items are presented. When selecting content items for the user, the online system accounts for the latent metric determined by the generated model.

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