Abstract: User-submitted content (e.g., stories) may be associated with descriptive metadata (intersection metadata), such as a timeframe, location, tags, and so on. Story content is presented in a virtual space, such as a forum, chatroom, or the like. Users submit collaborative content as the story is presented in the virtual space. The collaborative content is synchronized to presentation of the story. An author may replay the presentation and synchronized collaborative content and/or select portions of the collaborative content for inclusion in the story.

Abstract: User-submitted content (e.g., stories) may be associated with descriptive metadata (intersection metadata), such as a timeframe, location, tags, and so on. Story content is presented in a virtual space, such as a forum, chatroom, or the like. Users submit collaborative content as the story is presented in the virtual space. The collaborative content is synchronized to presentation of the story. An author may replay the presentation and synchronized collaborative content and/or select portions of the collaborative content for inclusion in the story.

Abstract: User-submitted content (e.g., stories) may be associated with descriptive metadata (intersection metadata), such as a timeframe, location, tags, and so on. Story content is presented in a virtual space, such as a forum, chatroom, or the like. Users submit collaborative content as the story is presented in the virtual space. The collaborative content is synchronized to presentation of the story. An author may replay the presentation and synchronized collaborative content and/or select portions of the collaborative content for inclusion in the story.

Abstract: User-submitted content (e.g., stories) may be associated with descriptive metadata, such as a timeframe, location, tags, and so on. The user-submitted content may be browed and/or searched using the descriptive metadata. Intersection criteria comprising a prevailing timeframe, a location, and/or other metadata criteria may be used to identify an intersection space comprising one or more stories. The stories may be ordered according to relative importance, which may be determined (at least in part) by comparing story metadata to the intersection criteria. Stories may be browsed in an intersection interface comprising a timeframe control. The intersection interface (and the timeframe control) may be configured to receive inputs in various forms including gesture input, movement input, orientation input, and so on.

Abstract: A website may allow users to rate content items displayed thereon. The user ratings associated with the content items may be weighted according to user rating weight. The rating weight of a particular user may be based, in whole or part, upon whether the user consistently rates content items similarly to one or more “expert” raters. The experts may be selected based on various factors including: professional training, experience, reputation on the website, or the like. If a particular user consistently rates content items similarly to the experts, the user may be given a high rating weight. Users whose ratings consistently diverge from the ratings assigned by the experts may be given a lower rating weight. The weights may be displayed in connection with a user profile, or may be hidden from the user community.

Abstract: A website may allow users to rate content items displayed thereon. The user ratings associated with the content items may be weighted according to user rating weight. The rating weight of a particular user may be based, in whole or part, upon whether the user consistently rates content items similarly to one or more “expert” raters. The experts may be selected based on various factors including: professional training, experience, reputation on the website, or the like. If a particular user consistently rates content items similarly to the experts, the user may be given a high rating weight. Users whose ratings consistently diverge from the ratings assigned by the experts may be given a lower rating weight. The weights may be displayed in connection with a user profile, or may be hidden from the user community. The rating weights may be used in calculating an overall rating of a particular content item.

Abstract: User-submitted content (e.g., stories) may be associated with descriptive metadata (intersection metadata), such as a timeframe, location, tags, and so on. The user-submitted content may be browsed and/or searched using the descriptive metadata. Intersection criteria comprising a prevailing timeframe, a location, and/or other metadata criteria may be used to identify an intersection space comprising one or more stories. The stories may be ordered according to relative importance, which may be determined (at least in part) by comparing story metadata to the intersection criteria.

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.