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SELECTIVE SHARING OF USER INFORMATION BASED ON CONTEXTUAL RELATIONSHIP INFORMATION, SUCH AS TO CROWD-SOURCE GIFTS OF INTEREST TO A RECIPIENT

机译:基于上下文关系信息的用户信息的选择性共享,例如对受赠方的群众礼物

摘要

Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be based on common context or commonality under a set of conditions, such as a topic, which may include known topics of relationships amongst the users and/or undiscovered contexts. As an example, items of interest to each user are identified and clustered, keywords are assigned to the clusters indicative of topics/subjects of interests to the respective users, recipient keywords are compared to keywords of an invitee to identify common keywords as shared interests, and items of interest to the recipient that relate to the common keywords are disclosed to the invitee as a personalized wish-list. Keyword weighting and/or keyword/item level privacy designations may be provided to further control disclosure.
机译:基于上下文/上下文关系将用户信息选​​择性/受控地公开给其他用户/被邀请者的私人工作空间,以及在其他用户之间进行协作的共享工作空间或市场(例如,众包接收者感兴趣的礼物)。上下文公开可以基于公共上下文或在一组条件下的共同性,例如主题,其可以包括用户和/或未发现的上下文之间的关系的已知主题。作为示例,识别并聚类每个用户感兴趣的项目,将关键词分配给指示各个用户感兴趣的主题/主题的聚类,将接收者的关键词与被邀请者的关键词进行比较,以将共同的关键词识别为共享的利益,并且,与接收者有关的与通用关键字有关的项目作为个性化的愿望清单被公开给被邀请者。可以提供关键字加权和/或关键字/项目级隐私指定以进一步控制公开。

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