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1. 发明申请

WO2014158204A1 METHOD AND APPARATUS FOR RECOMMENDATIONS WITH EVOLVING USER INTERESTS 审中-公开
标题翻译：促进用户兴趣的方法和设备
公开(公告)号：WO2014158204A1
公开(公告)日：2014-10-02
申请号：PCT/US2013/046776
申请日：2013-06-20
申请人： THOMSON LICENSING , LU, Wei , BHAGAT, Smriti , IOANNIDIS, Stratis
发明人： LU, Wei , BHAGAT, Smriti , IOANNIDIS, Stratis
IPC分类号： G06Q30/00
CPC分类号： G06N5/04 , G06N7/005 , G06N99/005 , G06Q30/02
摘要： A user has an inherent predisposition to have an interest for a particular item. The user's interests may also be affected by what people in her social circle are interested in. To more accurately make recommendations, a user's inherent interests, social influence, how a user responds to recommendations, and/or the user's desire for novelty are taken into consideration. Considering the evolution of users' interests in response to the users' social interactions and users' interactions with the recommender system, the recommendation problem is formulated as an optimization problem to maximize the overall expected utilities of the recommender system. Tractable solutions to the optimization problem are presented for some use cases: (1) when the system does not perform personalization; (2) when the users in the system exhibit attraction dominant behavior; and (3) when the users in the system exhibit aversion dominant behavior.
摘要翻译：用户具有对特定项目感兴趣的固有倾向。用户的兴趣也可能受到社交圈中的人的兴趣的影响。为了更准确地提出建议，用户的固有兴趣，社会影响力，用户对建议的反应和/或用户对新颖性的渴望被采纳考虑。考虑到用户的兴趣响应用户的社交交互和用户与推荐系统的交互的演变，推荐问题被制定为优化问题，以最大化推荐系统的整体预期效用。对于一些用例，提出了优化问题的可解决方案：（1）系统不执行个性化时; （2）系统中的用户表现出吸引力的主导行为; 和（3）当系统中的用户表现出厌恶主导行为时。

2. 发明申请

WO2014007943A3 METHOD AND APPARATUS FOR OBFUSCATING USER DEMOGRAPHICS 审中-公开
标题翻译：用于人脸识别的方法和装置
公开(公告)号：WO2014007943A3
公开(公告)日：2014-04-10
申请号：PCT/US2013044890
申请日：2013-06-10
申请人： THOMSON LICENSING , BHAGAT SMRITI , WEINSBERG UDI , IOANNIDIS STRATIS , TAFT NINA
发明人： BHAGAT SMRITI , WEINSBERG UDI , IOANNIDIS STRATIS , TAFT NINA
IPC分类号： G06N5/02 , G06N5/04 , G06N7/00
CPC分类号： G06N5/022 , G06F21/6254 , G06N5/045 , G06N7/005
摘要： A method to obfuscate the accurate detection of demographic information of a new user who provides ratings to a digital content service having a recommender system includes training an inference engine to detect the 5 demographic information. The training set includes movie ratings and demographic information from a plurality of other users. The new user inputs ratings, such as movie ratings, and the inference engine determines the demographic information of the new user. An obfuscation engine then adds movie ratings to the recommender system which cause an inference engine in the recommender system to fail to accurately detect the demographic information of the new user.
摘要翻译：用于模糊对具有推荐系统的数字内容服务提供评级的新用户的人口统计信息的精确检测的方法包括训练推理机以检测5人口统计信息。训练集包括来自多个其他用户的电影评级和人口统计信息。新用户输入评级，例如电影评级，推理引擎确定新用户的人口统计信息。然后，混淆引擎向推荐系统添加电影评级，这导致推荐系统中的推理引擎不能准确地检测新用户的人口统计信息。

3. 发明申请

WO2013191931A1 METHOD AND APPARATUS FOR INFERRING USER DEMOGRAPHICS 审中-公开
标题翻译：用于感染用户人口统计学的方法和设备
公开(公告)号：WO2013191931A1
公开(公告)日：2013-12-27
申请号：PCT/US2013/044880
申请日：2013-06-10
申请人： THOMSON LICENSING , WEINSBERG, Udi , BHAGAT, Smriti , IOANNIDIS, Stratis , TAFT, Nina
发明人： WEINSBERG, Udi , BHAGAT, Smriti , IOANNIDIS, Stratis , TAFT, Nina
IPC分类号： G06N5/00 , G06N99/00
CPC分类号： G06Q30/0269 , G06N5/00 , G06N99/005
摘要： A method to determine demographic information of a new user utilizing only ratings includes training an inference engine informed with a training data set which includes ratings and demographic information from a plurality of other users. The new user inputs ratings, such as movie ratings, and an inference engine determines demographic information of the new user. The demographic information of the new user can then be used to provide recommendations or to provide targeted advertisements to the new user.
摘要翻译：仅使用评级来确定新用户的人口统计信息的方法包括用包括来自多个其他用户的评级和人口统计信息的训练数据集来训练推断引擎。新用户输入评级，例如电影评级，推理引擎确定新用户的人口统计信息。然后可以使用新用户的人口统计信息来提供建议或向新用户提供有针对性的广告。

4. 发明申请

WO2014093618A3 INFERRING USER DEMOGRAPHIC INFORMATION FROM RATINGS 审中-公开
标题翻译：从评级中引入用户人口统计信息
公开(公告)号：WO2014093618A3
公开(公告)日：2014-10-23
申请号：PCT/US2013074662
申请日：2013-12-12
申请人： THOMSON LICENSING , IOANNIDIS STRATIS , WEINSBERG UDI , BHAGAT SMRITI
发明人： IOANNIDIS STRATIS , WEINSBERG UDI , BHAGAT SMRITI
IPC分类号： G06Q10/00
CPC分类号： G06Q30/0204 , G06Q10/06315 , G06Q30/0282
摘要： Existing recommendation systems leverage user social and demographic information, e.g., age, gender and political affiliation, to personalize content and make recommendations. However, users do not volunteer this information due to privacy concerns or to the lack of initiative in filling out their profile information. The current methods and apparatus provide principles in which the system may learn the private attribute for those users who do not voluntarily disclose them. In an exemplary embodiment, the system receives ratings for items, such as movies, for example, that may be used by a recommendation system. The inventive arrangements are based on novel usage of Bayesian matrix factorization in an active learning setting. Such a system can be carried out using significantly fewer rated items than previously proposed static inference methods. The system functions effectively without sacrificing the quality of the regular recommendations made to the user.
摘要翻译：现有的推荐系统利用用户社交和人口统计信息（例如年龄，性别和政治隶属关系）来个性化内容并提出建议。但是，由于隐私问题或缺乏主动填写个人资料信息，用户不会自愿提供这些信息。当前的方法和装置提供了原理，其中系统可以为那些不愿意公开他们的用户学习私人属性。在示例性实施例中，系统接收例如可由推荐系统使用的项目（例如电影）的评级。本发明的配置基于在主动学习环境中的贝叶斯矩阵分解的新用法。这样的系统可以使用比先前提出的静态推断方法少得多的额定项目来执行。该系统可以有效运行，而不会影响向用户提供的常规建议的质量。

5. 发明申请

WO2014123581A1 PRIVACY PROTECTION AGAINST CURIOUS RECOMMENDERS 审中-公开
标题翻译：对违规建议者的隐私保护
公开(公告)号：WO2014123581A1
公开(公告)日：2014-08-14
申请号：PCT/US2013/053984
申请日：2013-08-07
申请人： THOMSON LICENSING , IOANNIDIS, Efstratios , WEINSBERG, Ehud , BHAGAT, Smriti , FAWAZ, Nadia , MONTANARI, Andrea F. , TAFT, Nina Anne
发明人： IOANNIDIS, Efstratios , WEINSBERG, Ehud , BHAGAT, Smriti , FAWAZ, Nadia , MONTANARI, Andrea F. , TAFT, Nina Anne
IPC分类号： G06F21/62 , G06Q30/02 , H04N21/466
CPC分类号： G06F21/6254 , G06Q30/0201 , H04N21/25866 , H04N21/4756 , H04N21/4826
摘要： A method and apparatus for protecting user privacy in a recommender system are described including determining what information to release to a user for a movie, transmitting the information to the user, accepting obfuscated input from the user and estimating the user's non-private feature vector. Also described are a method and apparatus for protecting user privacy in a recommender system including receiving movie information, accepting a user's movie feedback, accepting user's private information, calculating an obfuscation value and transmitting the obfuscation value.
摘要翻译：描述了一种用于在推荐系统中保护用户隐私的方法和装置，包括确定要向用户释放电影的信息，向用户发送信息，接收来自用户的模糊化输入并估计用户的非私人特征向量。还描述了一种用于在推荐系统中保护用户隐私的方法和装置，包括接收电影信息，接受用户的电影反馈，接受用户的私人信息，计算混淆值和发送混淆值。

6. 发明申请

WO2014093621A2 PROPOSING OBJECTS TO A USER TO EFFICIENTLY DISCOVER DEMOGRAPHICS FROM ITEM RATINGS 审中-公开
标题翻译：向用户提出对象从物品等级有效发现人口统计学的目标
公开(公告)号：WO2014093621A2
公开(公告)日：2014-06-19
申请号：PCT/US2013/074665
申请日：2013-12-12
申请人： THOMSON LICENSING , IOANNIDIS, Stratis , WEINSBERG, Udi , BHAGAT, Smriti
发明人： IOANNIDIS, Stratis , WEINSBERG, Udi , BHAGAT, Smriti
CPC分类号： G06Q30/0204 , G06N5/04 , G06N7/005 , G06N99/005 , G06Q30/0241 , G06Q30/0278 , G06Q30/0282
摘要： The current methods and apparatus provide a system that learns a private attribute, such as gender, based on at least one iteration of presenting an item to a user and receiving ratings from the user for this item. In an exemplary embodiment, the system may solicit ratings for strategically selected items, such as movies for example, and then infers the user's gender. Based on the assessed confidence in the demographic selected, the system may repeat the selection, presentation and ratings of another item. The proposed system can strategically select the sequence of items that are presented to the user for a rating. By selecting the next item to be rated based on a maximum posterior probability confidence, a demographic with a certain threshold of confidence can be inferred. The inventive arrangements are based on novel usage of Bayesian matrix factorization in an active learning setting. Such a system is shown to be feasible and can be carried out using significantly fewer rated items than previously proposed static inference methods.
摘要翻译：目前的方法和装置提供了一种系统，其基于至少一次向用户呈现项目的迭代来学习诸如性别的私人属性，并且从用户接收对该项目的评级。在示例性实施例中，系统可以针对诸如电影的战略选择的项目征求评级，然后推断用户的性别。根据对所选人口的评估信心，系统可能会重复对另一项目的选择，呈现和评级。所提出的系统可以策略地选择呈现给用户的评级的项目的顺序。通过基于最大后验概率置信选择要评级的下一个项目，可以推断具有一定阈值的人口统计学。本发明的布置基于在主动学习设置中贝叶斯矩阵分解的新颖使用。这样的系统被证明是可行的，并且可以使用比先前提出的静态推理方法明显更少的额定项目来执行。

7. 发明申请

WO2014093618A2 INFERRING USER DEMOGRAPHIC INFORMATION FROM RATINGS 审中-公开
标题翻译：从评分中输入用户人口统计信息
公开(公告)号：WO2014093618A2
公开(公告)日：2014-06-19
申请号：PCT/US2013/074662
申请日：2013-12-12
申请人： THOMSON LICENSING , IOANNIDIS, Stratis , WEINSBERG, Udi , BHAGAT, Smriti
发明人： IOANNIDIS, Stratis , WEINSBERG, Udi , BHAGAT, Smriti
IPC分类号： G06Q10/10
CPC分类号： G06Q30/0204 , G06Q10/06315 , G06Q30/0282
摘要： Existing recommendation systems leverage user social and demographic information, e.g., age, gender and political affiliation, to personalize content and make recommendations. However, users do not volunteer this information due to privacy concerns or to the lack of initiative in filling out their profile information. The current methods and apparatus provide principles in which the system may learn the private attribute for those users who do not voluntarily disclose them. In an exemplary embodiment, the system receives ratings for items, such as movies, for example, that may be used by a recommendation system. The inventive arrangements are based on novel usage of Bayesian matrix factorization in an active learning setting. Such a system can be carried out using significantly fewer rated items than previously proposed static inference methods. The system functions effectively without sacrificing the quality of the regular recommendations made to the user.
摘要翻译：现有的推荐系统利用用户社会和人口统计信息，例如年龄，性别和政治隶属关系，个性化内容和提出建议。但是，由于隐私问题或用户填写个人资料信息缺乏主动性，用户不会自愿提供此信息。目前的方法和设备提供了系统可以为那些不自愿披露他们的用户学习私有属性的原理。在示例性实施例中，系统接收诸如可由推荐系统使用的诸如电影的项目的等级。本发明的布置基于在主动学习设置中贝叶斯矩阵分解的新颖使用。这样的系统可以使用比以前提出的静态推理方法少得多的额定项目来执行。系统功能有效，不会牺牲对用户的定期建议的质量。

8. 发明申请

WO2014007943A2 METHOD AND APPARATUS FOR OBFUSCATING USER DEMOGRAPHICS 审中-公开
标题翻译：用于混淆用户人口统计的方法和设备
公开(公告)号：WO2014007943A2
公开(公告)日：2014-01-09
申请号：PCT/US2013/044890
申请日：2013-06-10
申请人： THOMSON LICENSING , BHAGAT, Smriti , WEINSBERG, Udi , IOANNIDIS, Stratis , TAFT, Nina
发明人： BHAGAT, Smriti , WEINSBERG, Udi , IOANNIDIS, Stratis , TAFT, Nina
IPC分类号： G06F21/50
CPC分类号： G06N5/022 , G06F21/6254 , G06N5/045 , G06N7/005
摘要： A method to obfuscate the accurate detection of demographic information of a new user who provides ratings to a digital content service having a recommender system includes training an inference engine to detect the 5 demographic information. The training set includes movie ratings and demographic information from a plurality of other users. The new user inputs ratings, such as movie ratings, and the inference engine determines the demographic information of the new user. An obfuscation engine then adds movie ratings to the recommender system which cause an inference engine in the recommender system to fail to accurately detect the demographic information of the new user.
摘要翻译：混淆精确检测向具有推荐系统的数字内容服务提供评级的新用户的人口统计信息的方法包括训练推理引擎以检测人口统计信息。训练集包括来自多个其他用户的电影评级和人口统计信息。新用户输入评级，如电影评级，推理引擎确定新用户的人口统计信息。迷惑引擎然后将电影评级添加到推荐者系统，这导致推荐者系统中的推理引擎不能准确地检测到新用户的人口统计信息。

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