Processing user profiles of users in an electronic community

摘要

A method and system for processing user profiles of a plurality of users in an electronic community. Noun phrases are extracted from activities of each user logged in an activity log server, each user having an existing user profile stored in a user profile and relationship database that is external to the activity log server. The existing user profiles in the user profile and relationship database are updated from the extracted noun phrases, a keyword being associated with each determined noun phrase and being within a semantic hierarchical tree, the updating based on a usage frequency of the extracted noun phrases and an importance value of the keywords.

主权项

1. A method for processing user profiles of a plurality of users in an electronic community, said method comprising:
extracting, by a processor of a data processing system, noun phrases from activities of each user logged in an activity log server, each user having an existing user profile stored in a user profile and relationship database that is external to the activity log server; said processor updating the existing user profiles in the user profile and relationship database from the extracted noun phrases, a keyword being associated with each determined noun phrase and being within a semantic hierarchical tree, said updating based on a usage frequency of the extracted noun phrases and an importance value of the keywords; said processor executing a similarity based clustering algorithm to generate clusters of the updated user profiles, each cluster comprising a group of users of the users in the electronic community, each cluster representing a relationship between the users in each group; and said processor storing each cluster in the user profile and relationship database, wherein the similarity based clustering algorithm comprises a member importance function and a member similarity function, wherein the member importance function ascertains an importance value of keywords as a depth of said keywords in the semantic hierarchical tree, wherein the member similarity function ascertains a similarity distance between keywords as a path distance between said keywords in the semantic hierarchical tree, and wherein said executing the similarity based clustering algorithm comprises: using the member importance function and the member similarity function to ascertain the clusters.