Other

James Beattie

Kenneth A Smith

Gideon Gimlan

Seymour A Rapaport

Jeffrey Alan Rapaport

Jeffrey A Rapaport

Seymour Rapaport

An information enhancing method for use with a social networking system using a plurality of machine systems comprising: causing a software agent that is structured to be able to search for new content data to add to the social networking system which is organized by topics; measuring current focus and implicit vote values of the users to detect type of user interaction; in response to the current focus and implicit vote value measurements, automatically repeating updates to content data and trending data corresponding to the topics; and determine what to present to the users.

Information enhancing method using software agents in a social networking system

Disclosed is a Social-Topical Adaptive Networking (STAN) system that can inform users of cross-correlations between currently focused-upon topic or other nodes in a corresponding topic or other data-objects organizing space maintained by the system and various social entities monitored by the system. More specifically, one of the cross-correlations may be as between the top N now-hottest topics being focused-upon by a first social entity and amounts of focus 'heat' that other social entities (e.g., friends and family) are casting on the same topics in a relavant time period.

Social topical context adaptive network hosted system

Disclosed is a Social-Topical Adaptive Networking (STAN) system that can inform users of cross-correlations between currently focused-upon topic or other nodes in a corresponding topic or other data-objects organizing space maintained by the system and various social entities monitored by the system. More specifically, one of the cross-correlations may be as between the top N now-hottest topics being focused-upon by a first social entity and the amounts of focus 'heat' that other social entities (e.g., friends and family) are casting on the same topics (or other subregions of other cognitive attention receiving spaces) in a relevant time period.

Contextually-based automatic grouped content recommendations to users of a social networking system

A machine-implemented social networking system builds up and repeatedly refreshes a hierarchy tree containing topic nodes. New nodes are added as new topics emerge in online public forums. Each topic node can link to an on-topic real time chat room whose occupants are currently discussing the topic of the node. A chat room can be pointed to by more than one node if the room is discussing multiple topics. Rooms can migrate from node to node as room topic dynamically changes. A system user who explicitly or inferentially wishes to be invited into a chat room which is on-topic with what the user is currently focused upon can do so by use of a node-seeking automated process. The process operates in the background and seeks out nodes of the hierarchy tree that currently have topics appearing to be the same as or similar to what topics the user appears to have in mind. Content browsing experience of the user is enhanced by addition of an invitations displaying subsystem that automatically invites him or her to co-compatible chat rooms currently discussing the topic(s) the user appears to have in mind. One of the many topics that a user may inferentially have in mind is that of being at a given location as reported by the user's GPS and wondering what best to do at that location and time.

Methods using social topical adaptive networking system

Contextually-based automatic service offerings to users of machine system

Social-topical adaptive networking (STAN) system allowing for group based contextual transaction offers and acceptances and hot topic watchdogging

A machine-implemented social networking system includes a hierarchy tree containing topic nodes. New nodes are added as new topics emerge in online public forums. Each topic node can link to an on-topic real time chat room whose occupants are currently discussing the topic of the node. A node-seeking automated process operates in the background and seeks out nodes that currently have topics appearing to be the same as or similar to what topics the user appears to have in mind. Content browsing experience of the user is enhanced by addition of an invitations displaying subsystem that automatically invites him or her to co-compatible chat rooms currently discussing the topic(s) the user appears to have in mind.

Social network driven indexing system for instantly clustering people with concurrent focus on same topic into on-topic chat rooms and/or for generating on-topic search results tailored to user preferences regarding topic

Growing community of inventors

San Ramon, CA, United States of America

James Beattie