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Deriving Semantic Relationships Based on Empirical Organization of Content by Users

机译:基于用户的经验组织的语义关系推导

摘要

A computer-implemented content suggestion engine provides content suggestions to a requesting user based on information about content items that other users may have independently categorized or organized into folders within a content repository. Embodiments of the method comprise a content repository having a plurality of content items, where each content item is associated with one or more user-created folders. Embodiments further comprise receiving, via a network, a suggestion request for suggested content, where the suggestion request identifies a first content item for which suggestions are sought. Other content items in the content repository are then identified as potential suggestions based on the application of a formal relationship between the first content item and the potential suggested content items. One or more of the potential suggested content items may then be provided in response to the suggestion request via the network.
机译:计算机实现的内容建议引擎基于与其他用户可能已经独立地分类或组织到内容存储库中的文件夹中的内容项目有关的信息,向请求用户提供内容建议。该方法的实施例包括具有多个内容项的内容仓库,其中每个内容项与一个或多个用户创建的文件夹相关联。实施例还包括:经由网络接收对所建议的内容的建议请求,其中该建议请求标识针对其寻求建议的第一内容项目。然后,基于第一内容项和潜在建议内容项之间的形式关系的应用,将内容存储库中的其他内容项标识为潜在建议。然后可以响应于经由网络的建议而提供一个或多个潜在的建议内容项。

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