Abstract: A content item may be associated with metadata comprising one or more tags. A user may indicate a relevance rating associated with a tag. The relevance rating may indicate whether the user feels the tag is relevant to the associated content item. Using a plurality of user-provided relevance ratings, a tag relevance model may be established. A tag relevance model may comprise a weighted or un-weighted average and/or median relevance rating of the tag and/or a cohesiveness of the of the relevance ratings. Rating cohesiveness may be used to identify controversial tags. Tag relevance information may be used to order search results. Tag ratings may also be used to aggregate users into groups comprising users having a similar point of view relative to one or more tag ratings. In addition, users may be grouped according to content access and/or tags rated regardless of the relevance rating applied.

Abstract: A content item may be associated with metadata comprising one or more tags. A user may indicate a relevance rating associated with a tag. The relevance rating may indicate whether the user feels the tag is relevant to the associated content item. Using a plurality of user-provided relevance ratings, a tag relevance model may be established. A tag relevance model may comprise a weighted or un-weighted average and/or median relevance rating of the tag and/or a cohesiveness of the of the relevance ratings. Rating cohesiveness may be used to identify controversial tags. Tag relevance information may be used to order search results. Tag ratings may also be used to aggregate users into groups comprising users having a similar point of view relative to one or more tag ratings. In addition, users may be grouped according to content access and/or tags rated regardless of the relevance rating applied.

Abstract: A content item may be associated with metadata comprising one or more tags. A user may indicate a relevance rating associated with a tag. The relevance rating may indicate whether the user feels the tag is relevant to a particular content item. Using a plurality of user-provided relevance ratings, a tag relevance model may be established. A tag relevance model may comprise a weighted or un-weighted average and/or median relevance rating of the tag and/or a consistency of the relevance rating. The tag relevance model may be used to order or otherwise inform search results. Tag ratings may also be used to aggregate users into groups comprising users having a similar point of view relative to one or more tag ratings. In addition, users may be grouped according to content access and/or tags rated regardless of the relevance rating applied.

Abstract: A content item may be associated with metadata comprising one or more tags. A user may indicate a relevance rating associated with a tag. The relevance rating may indicate whether the user feels the tag is relevant to a particular content item. Using a plurality of user-provided relevance ratings, a tag relevance model may be established. A tag relevance model may comprise a weighted or un-weighted average and/or median relevance rating of the tag and/or a consistency of the relevance rating. The tag relevance model may be used to order or otherwise inform search results. Tag ratings may also be used to aggregate users into groups comprising users having a similar point of view relative to one or more tag ratings. In addition, users may be grouped according to content access and/or tags rated regardless of the relevance rating applied.

Abstract: Methods, systems, and computer-readable media for generating and displaying personalized information are disclosed herein. In one embodiment, a method includes receiving age data related to the age of a first person, receiving a request for information from a user, and automatically identifying relevant event data in a database based on the age data. The relevant data includes information about a second, famous person different from the first person and wherein the second, famous person was involved with an associated event. The relevant data is associated with an age of the second, famous person when the second, famous person was involved with the associated event. The age of the second, famous person is with respect to a granularity of less than a year. The method further includes automatically providing the relevant data to the user.

Abstract: In one embodiment, a method for generating personalized information includes receiving age data related to the age of a first person, receiving a request for information from a user, and automatically identifying relevant event data in a database based on the age data. The relevant data includes information about a second, famous person different from the first person and wherein the second, famous person was involved with an associated event. The relevant data is associated with an age of the second, famous person when the second, famous person was involved with the associated event. The age of the second, famous person is with respect to a granularity of less than a year. The method further includes automatically providing the relevant data to the user.