Profiling with the INFOrmer Text Filtering Agent.
Humphrey Sorensen, Adrian P. O'Riordan, Colm O’Riordan · Zenodo (CERN European Organization for Nuclear Research) · 1997
: INFOrmer is an intelligent filtering system, currently being applied to the management of USENET News articles. An individual may have one or more profiles, each representing a long-term interest of that user. The user profile is then used to measure the relevance of incoming articles and filter out irrelevant documents. A user profile may be modified as a result of relevance feedback, so that it adjusts to users' changing interests. This paper discusses the architecture of INFOrmer and covers the profile/document representation and comparison techniques adopted within the system. Key Words: Text filtering, semantic network, spreading activation, relevance feedback. Category: H.3.3 1 Introduction The increasing popularity of the Internet has led to an explosion in the amount of online data available to the user. One of the major sources of information is through the USENET news feed. The high traffic through many of these newsgroups (estimated at roughly 400 megabytes of textual...