| 摘要 |
Systems, methods, and computer readable media are disclosed for discovering relationships between one or more content items and one or more users. The method of the present invention comprises retrieving one or more bookmarks and one or more tags associated with one or URLs generated by one or more users. One or more sets of related tags are generated according to a frequency with which the one or more retrieved tags co-occur within a given corpus of content items. The one or more URLs associated with the one or more identified sets of related tags are identified. The one or more users that generated bookmarks for the one or more sets of related URLs are identified. A recommendation is generated for one or more tags, URLs, and users in response to receiving a bookmark for a given URL through use of the related tags, URLs, and users.
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