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1. 发明申请

US20130124297A1 MULTI-DIMENSIONAL ADVERTISEMENT BIDDING 审中-公开
标题翻译：多维广告投标
公开(公告)号：US20130124297A1
公开(公告)日：2013-05-16
申请号：US13294052
申请日：2011-11-10
申请人： John Hegeman , Rong Yan
发明人： John Hegeman , Rong Yan
IPC分类号： G06Q30/02
CPC分类号： G06Q30/02 , G06Q30/08
摘要： An online advertising system receives ads from advertisers, which may also provide associated budgets, time period constraints, impressions goals, and performance weightings for the ads. When an ad is requesting from the advertising system from a client, a bid may be determined for each ad based on the budget associated the ad and/or the impressions goal associated with the ad. Ad performance associated with the ad request may be predicted, and a bid may be determined for each ad based on the performance weightings and the predicted performance associated with the ad request. The bid for an ad may be weighted by the pace of budget consumption by the ad, or by the pace of the ad progressing towards the ad's impression goal. An ad is selected for display to the client from among the one or more ads based on the determined bids for the ads.
摘要翻译：在线广告系统接收来自广告客户的广告，这也可能会为广告提供相关的预算，时间段约束，展示目标和效果权重。当广告从客户端从广告系统请求时，可以根据与广告相关联的预算和/或与广告相关联的展示次数目标来确定每个广告的出价。可以预测与广告请求相关联的广告效果，并且可以基于与广告请求相关联的性能权重和预测的表现来为每个广告确定出价。广告的出价可能会按广告的预算消耗速度或广告进展到广告展示目标的速度加权。根据广告的确定出价，从一个或多个广告中选择一个广告来显示给客户。

2. 发明申请

US20120259919A1 Using Polling Results as Discrete Metrics for Content Quality Prediction Model 有权
标题翻译：使用轮询结果作为内容质量预测模型的离散度量
公开(公告)号：US20120259919A1
公开(公告)日：2012-10-11
申请号：US13082396
申请日：2011-04-07
申请人： Rong Yan , John Hegeman
发明人： Rong Yan , John Hegeman
IPC分类号： G06F15/16
CPC分类号： G06Q30/0245 , G06N5/048 , G06Q30/02 , G06Q30/0202
摘要： A social networking system presents content items to users, who then provide feedback regarding pairs of content items. The feedback includes a selection of a content item of the pair of content items that was preferred by the user over the other content item. The social networking system uses this information to train a predictive model that scores content items based on quality. The content items may be advertisements. The social networking system uses the pair-wise comparisons of the advertisements to determine feedback coefficients in an advertising quality score prediction model using regression analysis of the pair-wise comparisons for each predictive factor in the model. In this way, the pair-wise comparisons are used to train the prediction model to understand which advertisements are more enjoyable than others. A feedback coefficient for each predictive factor may be computed based on the preferences received from the group of users.
摘要翻译：社交网络系统向用户呈现内容，然后他们提供关于内容对的反馈。反馈包括用户对其他内容项目优选的内容项目对的内容项的选择。社交网络系统使用该信息来训练基于质量对内容项进行评分的预测模型。内容项可以是广告。社交网络系统使用广告的成对比较来确定广告质量得分预测模型中的反馈系数，其使用对于模型中的每个预测因子的成对比较的回归分析。以这种方式，使用成对比较来训练预测模型，以了解哪些广告比其他广告更愉快。可以基于从用户组接收的偏好来计算每个预测因子的反馈系数。

3. 发明授权

US08738698B2 Using polling results as discrete metrics for content quality prediction model 有权
标题翻译：使用轮询结果作为内容质量预测模型的离散度量
公开(公告)号：US08738698B2
公开(公告)日：2014-05-27
申请号：US13082396
申请日：2011-04-07
申请人： Rong Yan , John Hegeman
发明人： Rong Yan , John Hegeman
IPC分类号： G06F15/16
CPC分类号： G06Q30/0245 , G06N5/048 , G06Q30/02 , G06Q30/0202
摘要： A social networking system presents content items to users, who then provide feedback regarding pairs of content items. The feedback includes a selection of a content item of the pair of content items that was preferred by the user over the other content item. The social networking system uses this information to train a predictive model that scores content items based on quality. The content items may be advertisements. The social networking system uses the pair-wise comparisons of the advertisements to determine feedback coefficients in an advertising quality score prediction model using regression analysis of the pair-wise comparisons for each predictive factor in the model. In this way, the pair-wise comparisons are used to train the prediction model to understand which advertisements are more enjoyable than others. A feedback coefficient for each predictive factor may be computed based on the preferences received from the group of users.
摘要翻译：社交网络系统向用户呈现内容，然后他们提供关于内容对的反馈。反馈包括用户对其他内容项目优选的内容项目对的内容项的选择。社交网络系统使用该信息来训练基于质量对内容项进行评分的预测模型。内容项可以是广告。社交网络系统使用广告的成对比较来确定广告质量得分预测模型中的反馈系数，其使用对于模型中的每个预测因子的成对比较的回归分析。以这种方式，使用成对比较来训练预测模型，以了解哪些广告比其他广告更愉快。可以基于从用户组接收的偏好来计算每个预测因子的反馈系数。

4. 发明申请

US20130006758A1 USER FEEDBACK-BASED SELECTION OF ONLINE ADVERTISEMENTS USING NORMALIZED COST MODIFIERS 审中-公开
标题翻译：使用正则化成本改变者的用户反馈选择在线广告
公开(公告)号：US20130006758A1
公开(公告)日：2013-01-03
申请号：US13171101
申请日：2011-06-28
申请人： John Hegeman , Rong Yan
发明人： John Hegeman , Rong Yan
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0251
摘要： Advertisements to be presented to a user are selected based on feedback responses received from other users where the feedback responses represent the level of interest to the advertisements expressed by the other users. In selecting which advertisements to be presented to a user, the online service takes into account feedback responses previously collected from a group of users and revenue expected for presenting certain advertisements to the user. An online service computing device computes a total value of an advertisement based on an estimated revenue value for presenting an advertisement and a modifier representing the user's estimated interest in the advertisements. The modifier is normalized based on a market value of the corresponding advertisement or a user. The online service then selects or prioritizes the advertisements based on the total values.
摘要翻译：基于从其他用户收到的反馈响应来选择要呈现给用户的广告，其中反馈响应表示由其他用户表达的广告的兴趣水平。在选择要呈现给用户的广告时，在线服务考虑了先前从一组用户收集的反馈响应以及预期向用户呈现某些广告的收入。在线服务计算设备基于用于呈现广告的估计收入值和表示用户对广告的估计兴趣的修饰符来计算广告的总价值。基于对应的广告或用户的市场值对修饰符进行归一化。然后，在线服务基于总值来选择或优先化广告。

5. 发明申请

US20130124308A1 BUDGET-BASED ADVERTISMENT BIDDING 审中-公开
标题翻译：基于预算的广告投标
公开(公告)号：US20130124308A1
公开(公告)日：2013-05-16
申请号：US13294094
申请日：2011-11-10
申请人： John Hegeman , Rong Yan , Gregory Joseph Badros
发明人： John Hegeman , Rong Yan , Gregory Joseph Badros
IPC分类号： G06Q30/02
CPC分类号： G06Q10/04 , G06Q30/0241 , G06Q30/08
摘要： An online advertising system receives ads from advertisers, which may also provide associated budgets, time period constraints, impressions goals, and performance weightings for the ads. When an ad is requesting from the advertising system from a client, a bid may be determined for each ad based on the budget associated the ad and/or the impressions goal associated with the ad. Ad performance associated with the ad request may be predicted, and a bid may be determined for each ad based on the performance weightings and the predicted performance associated with the ad request. The bid for an ad may be weighted by the pace of budget consumption by the ad, or by the pace of the ad progressing towards the ad's impression goal. An ad is selected for display to the client from among the one or more ads based on the determined bids for the ads.
摘要翻译：在线广告系统接收来自广告客户的广告，这也可能会为广告提供相关的预算，时间段约束，展示目标和效果权重。当广告从客户端从广告系统请求时，可以根据与广告相关联的预算和/或与广告相关联的展示次数目标来确定每个广告的出价。可以预测与广告请求相关联的广告效果，并且可以基于与广告请求相关联的性能权重和预测的表现来为每个广告确定出价。广告的出价可能会按广告的预算消耗速度或广告进展到广告展示目标的速度加权。根据广告的确定出价，从一个或多个广告中选择一个广告来显示给客户。

6. 发明申请

US20130159100A1 SELECTING ADVERTISEMENTS FOR USERS OF A SOCIAL NETWORKING SYSTEM USING COLLABORATIVE FILTERING 审中-公开
标题翻译：使用协同过滤选择社交网络系统用户的广告
公开(公告)号：US20130159100A1
公开(公告)日：2013-06-20
申请号：US13330502
申请日：2011-12-19
申请人： Rajat Raina , Gokul Rajaram , Hong Ge , Junfeng Pan , John Hegeman
发明人： Rajat Raina , Gokul Rajaram , Hong Ge , Junfeng Pan , John Hegeman
IPC分类号： G06Q30/02
CPC分类号： G06Q30/0241 , G06Q50/01
摘要： A social networking system selects advertisements for its users using collaborative filtering based on the users' interactions with objects in the social networking system. The objects may be games, pages, groups, deals, messages, content items, advertisements, or any other object with which a user may interact in the system. The system may identify a viewing user's interaction with a first object, determine a second object that is similar to the first object based on interactions of users with both of the objects, and send an advertisement associated with the second object to the viewing user. The system determines a second object based a similarity score between the first object and the second object, which may be a measure of users who have interacted with both objects and may be normalized by a number of user interactions by the users with the objects.
摘要翻译：社交网络系统基于用户与社交网络系统中的对象的交互来使用协作过滤来为其用户选择广告。对象可以是游戏，页面，组，交易，消息，内容项目，广告或用户可以在系统中与其交互的任何其他对象。系统可以识别观看用户与第一对象的交互，基于用户与两个对象的交互来确定类似于第一对象的第二对象，并将与第二对象相关联的广告发送给观看用户。该系统基于第一对象和第二对象之间的相似性得分确定第二对象，其可以是与两个对象交互的用户的度量，并且可以由具有对象的用户的多个用户交互进行归一化。

7. 发明申请

US20110106630A1 USER FEEDBACK-BASED SELECTION AND PRIORITIZING OF ONLINE ADVERTISEMENTS 审中-公开
标题翻译：基于用户反馈的在线广告选择和优化
公开(公告)号：US20110106630A1
公开(公告)日：2011-05-05
申请号：US12611874
申请日：2009-11-03
申请人： John Hegeman , Jared Morgenstern
发明人： John Hegeman , Jared Morgenstern
IPC分类号： G06Q30/00 , G06Q10/00 , G06F3/048 , G06F15/16
CPC分类号： G06Q30/02 , G06Q30/0206 , G06Q30/0243 , G06Q30/0245 , G06Q30/0247 , G06Q30/0275 , H04L51/32
摘要： Advertisements to be presented to a user are selected based on feedback responses received from other users where the feedback responses represent the level of interest to the advertisements expressed by the other users. In selecting which advertisements to be presented to a user, the online service takes into account feedback responses previously collected from a group of users and revenue expected for presenting certain advertisements to the user. An online service computing device computes a total value of an advertisement based on an estimated revenue value for presenting an advertisement and a modifier representing the user's estimated interest in the advertisements. The online service then selects or prioritizes the advertisements based on the total values. Advertisements with more positive feedback responses and/or less negative feedback responses tend to have higher total values, and therefore, such advertisements are more likely to be selected for presentation to the users.
摘要翻译：基于从其他用户收到的反馈响应来选择要呈现给用户的广告，其中反馈响应表示由其他用户表达的广告的兴趣水平。在选择要呈现给用户的广告时，在线服务考虑了先前从一组用户收集的反馈响应以及预期向用户呈现某些广告的收入。在线服务计算设备基于用于呈现广告的估计收入值和表示用户对广告的估计兴趣的修饰符来计算广告的总价值。然后，在线服务基于总值来选择或优先化广告。具有更积极的反馈响应和/或较少的负反馈响应的广告往往具有较高的总值，因此，这样的广告更可能被选择以呈现给用户。

8. 发明申请

US20130124447A1 COGNITIVE RELEVANCE TARGETING IN A SOCIAL NETWORKING SYSTEM USING CONCEPTS INFERRED FROM EXPLICIT INFORMATION 审中-公开
标题翻译：使用从明示信息中提取的概念的社会网络系统中的认知相关指标
公开(公告)号：US20130124447A1
公开(公告)日：2013-05-16
申请号：US13296117
申请日：2011-11-14
申请人： Gregory Joseph Badros , Rajat Raina , Ding Zhou , Tudor Andrei Alexandrescu , Nuwan Senaratna , Hong Ge , Chi Wang , Alon Amit , John Hegeman
发明人： Gregory Joseph Badros , Rajat Raina , Ding Zhou , Tudor Andrei Alexandrescu , Nuwan Senaratna , Hong Ge , Chi Wang , Alon Amit , John Hegeman
IPC分类号： G06N7/02 , G06N5/04 , G06Q30/02 , G06N5/00
CPC分类号： G06Q30/0251 , G06Q50/01
摘要： A social networking system infers a user's present interests based on the user's recent actions and/or the recent actions of the user's connections in the social networking system. The social networking system also determines a set of concepts associated with each of a set of information items, such as advertisements. By matching the user's present interests with the concepts associated with the information items, the social networking system selects one or more of the information items that are likely to be of present interest to the user. At least one of the matched interests and concepts are not identical. The social networking system then presents the selected information items for display to the user, thereby providing information based on an inferred temporal relevance of that information to the user.
摘要翻译：社交网络系统基于用户最近的动作和/或用户在社交网络系统中的连接的最新动作来推断用户的兴趣。社交网络系统还确定与诸如广告的一组信息项中的每一个相关联的一组概念。通过将用户的当前兴趣与与信息项相关联的概念相匹配，社交网络系统选择用户可能感兴趣的一个或多个信息项。匹配的兴趣和概念中至少有一个不一样。然后，社交网络系统将所选择的信息项呈现给用户，从而基于该信息对用户的推断的时间相关性来提供信息。

9. 发明授权

US10607250B2 Advertisement selection and pricing using discounts based on placement 有权
公开(公告)号：US10607250B2
公开(公告)日：2020-03-31
申请号：US13488294
申请日：2012-06-04
申请人： Alon Amit , Yaron Greif , John Hegeman
发明人： Alon Amit , Yaron Greif , John Hegeman
IPC分类号： G06Q30/02
摘要： An advertising selection and placement system is provided for a social networking system. An advertising selection module identifies candidate advertisements for a user to view along with social networking content. The candidate advertisements can be placed in various slots on the user's display. The expected value of various arrangements of the candidate advertisements in the slots is determined, and advertisements may be selected and placed to optimize revenue to the system. Each advertisement is evaluated using a discount function that adjusts the price of the advertisement based on its placement.

10. 发明授权

US10565598B2 Sponsored advertisement ranking and pricing in a social networking system 有权
公开(公告)号：US10565598B2
公开(公告)日：2020-02-18
申请号：US13545266
申请日：2012-07-10
申请人： John Hegeman , Hong Ge , Maxim Gubin , Alon Amit
发明人： John Hegeman , Hong Ge , Maxim Gubin , Alon Amit
IPC分类号： G06Q30/02 , G06Q50/00
摘要： A social networking system (SNS) provides sponsored stories and organic stories about actions taken by other SNS users to a viewing user. Organic stories are selected based on the likelihood the viewing user is interested in their content. While advertisers compensate the SNS for presentation of sponsored stories, the sponsored stories also include information about actions by other SNS users. To increase the likelihood the viewing user interacts with sponsored stories, a common communication channel is used to present both the sponsored stories and the organic stories. To simplify selection of organic stories and sponsored stories, the SNS determines a common unit of measurement for both and makes selections based on the common unit of measurement.

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