III Holdings 2, LLC

Intersect Ptp, Inc.

Corrino Holdings LLC

Microsoft Technology Licensing, LLC

Alki Sofware Corporation

Peter Rinearson

Michael Flashman

James Cleveland Strange

Karan Strange

Kristofor Selden

Jason Malcolm

Erik Speckman

Yoram Yaacovi

Robert D Gale

Russ Burtner

Alisson Sol

Ingo Friedrichowitz

Roy Zuniga

Gwen Sweeney

Dale Askew

Giselle Smith

Steven Wainwright

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 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.

Systems and methods for identifying intersections using content metadata

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.

Systems and methods for collaborative storytelling in a virtual space

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.

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.

Systems and methods for calibrating user ratings

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.

Relevancy rating of tags

The assembly of documents assembled by a team is simplified. Document sections are assigned to a team member from within a word-processing document. Once a document template is opened by a user, the different sections within the document may be assigned to team members. Once a section is assigned, a notification is sent to the team members indicating the assignment. The team member may access their assigned section(s) through the notification. The team member may also access a central location to edit the sections they have been assigned. Team members from within the document may also search and use content from one or more content libraries to assist in the document assembly. Newly created content may also be saved to a new and/or existing content library. The content is then available to other team members working on the same or different projects.

Method and system for document assembly

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.

Periodic personalized media system, and associated method

Growing community of inventors

Vashon, WA, United States of America

Peter Rinearson