Multi-level mindpool system especially adapted to provide collaborative

Abstract

A mindpool system develops collaboration informon rating data for use in filtering informons for a current user of a filter system. A plurality of commonly characterized user nodes are arranged in a 3-level heirarchical structure. Users input informon rating data to the bottom nodes. A mindpool manager system routes rating data received for an informon in any one user node to other user nodes in any node level according to selected criteria. This system distributes the rating data to selected users through bottom level nodes for use in filtering operations subsequently performed for the selected users. A common user characteristic applied to user nodes is increasingly generalized with upward node location and is increasingly detailed with downward node location. A mindpool manager operates for each user node to determine routings of the informon rating data to other user nodes. The mindpool system has a plurality of the heirarchical user node structures, with each operated for a specific informon rating purpose, such as quality. The mindpool is embodied in a filter structure having a content-based filter containing content profile data for an individual user and generating informon profile data representing information in a network sourced informon. The filter structure integrates the operation of the mindpool system and the content-based filter by combining the informon profile data, the content profile data, and received collaboration user rating data corresponding to the network informon to determine a value of the network informon to the individual user.