公开(公告)号：US09396492B2

公开(公告)日：2016-07-19

申请号：US13274235

申请日：2011-10-14

申请人： Jeremy Schiff ,  Corey Reese ,  Yige Wang ,  Scott Goodson ,  Paul Kenneth Twohey

发明人： Jeremy Schiff ,  Corey Reese ,  Yige Wang ,  Scott Goodson ,  Paul Kenneth Twohey

IPC分类号： G06Q30/06 ,  G06Q30/02

CPC分类号： G06Q30/0631 ,  G06Q30/0282 ,  G06Q30/06

摘要： Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.

摘要翻译： 本发明的实施例涉及一种计算机实现的方法和系统，用于至少基于存储的关于目标用户的数据为目标用户提供个性化建议。 该方法包括从多个用户获得多个反馈数据，其中所述反馈数据包括媒体对象的指示，从与所述反馈数据相关的目标用户获得的响应以及与所述目标相关联的至少一个人口统计数据元素 用户。 至少基于关于目标用户的存储数据和与用户相关的反馈数据来识别针对目标用户的一组个性化建议。 个性化推荐系统识别可能提供给目标用户的媒体对象，并且选择或过滤所识别的媒体对象以形成与该组个性化推荐相关联的一组个性化媒体对象。

公开(公告)号：US20120095863A1

公开(公告)日：2012-04-19

申请号：US13274235

申请日：2011-10-14

申请人： Jeremy Ryan Schiff ,  Corey Reese ,  Yige Wang ,  Scott Goodson ,  Paul Kenneth Twohey

发明人： Jeremy Ryan Schiff ,  Corey Reese ,  Yige Wang ,  Scott Goodson ,  Paul Kenneth Twohey

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0631 ,  G06Q30/0282 ,  G06Q30/06

摘要： Embodiments of the invention relate to a computer-implemented method and system for providing personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining a plurality of feedback data from a plurality of users, wherein the feedback data comprises an indication of a media object, a response obtained from target user related to the feedback data, and at least one demographic data element associated with the target user. A set of personalized recommendations for the target user are identified based at least on stored data about the target user and the feedback data related to the user. The personalized recommendations system identifies media objects to potentially provide to the target user, and selects or filters the identified media objects to form a set of personalized media objects associated with the set of personalized recommendations.

摘要翻译： 本发明的实施例涉及一种计算机实现的方法和系统，用于至少基于存储的关于目标用户的数据为目标用户提供个性化建议。 该方法包括从多个用户获得多个反馈数据，其中所述反馈数据包括媒体对象的指示，从与所述反馈数据相关的目标用户获得的响应以及与所述目标相关联的至少一个人口统计数据元素 用户。 至少基于关于目标用户的存储数据和与用户相关的反馈数据来识别针对目标用户的一组个性化建议。 个性化推荐系统识别可能提供给目标用户的媒体对象，并且选择或过滤所识别的媒体对象以形成与该组个性化推荐相关联的一组个性化媒体对象。

公开(公告)号：US20120095862A1

公开(公告)日：2012-04-19

申请号：US13274226

申请日：2011-10-14

申请人： Jeremy Ryan Schiff ,  Paul Kenneth Twohey ,  Steven Charles Schlansker ,  Leejay Wu ,  Corey Reese ,  Sourav Chatterji

发明人： Jeremy Ryan Schiff ,  Paul Kenneth Twohey ,  Steven Charles Schlansker ,  Leejay Wu ,  Corey Reese ,  Sourav Chatterji

IPC分类号： G06Q30/02

CPC分类号： G06Q30/0282 ,  G06Q30/06

摘要： Embodiments of the invention relate to a computer-implemented method and system for generating personalized recommendations for a target user based at least on stored data about the target user. The method comprises obtaining, at the server computer, data from a plurality of data sources, including entity data associated with a plurality of entities, stored in an entity database, or personal data associated with a plurality of users, stored in a user database. The personalized recommendations system then merges the entity data or personal data and maps the entity or personal data to a corresponding entity or target user, respectively. The entity or personal data is differentiated, a relevance is determined, a weight is assigned to the data and corresponding source to canonicalize the data, the respective databases are updated with the corresponding data, and then a set of personalized recommendations to the target user is generated using the updated databases.

摘要翻译： 本发明的实施例涉及一种计算机实现的方法和系统，用于至少基于存储的关于目标用户的数据为目标用户生成个性化建议。 该方法包括在服务器计算机处获取存储在用户数据库中的多个数据源的数据，包括与存储在实体数据库中的多个实体相关联的实体数据或与多个用户相关联的个人数据。 个性化推荐系统然后合并实体数据或个人数据，并将实体或个人数据分别映射到相应的实体或目标用户。 实体或个人数据被区分，确定相关性，将权重分配给数据和对应的来源以规范数据，相应的数据库用相应的数据更新，然后针对目标用户的一组个性化建议是 使用更新的数据库生成。