Intelligent Filtering; Based on Keywords Only?

Abstract

Empirical studies on users of Usenet News indicate that features other than keywords also plays an important role in the user's decision to read or reject a message. The IntFilter project aims to develop a message classification mechanism which use such extra features while minimizing the burden for the user who has to provide and maintain long-term queries. KEYWORDS: Text classification, information filtering, computer-mediated communication, machine learning. INTRODUCTION Keywords and phrases are in common use in information filtering ([4, 5, 10]), but other criteria could be usable, especially in combination with machine learning techniques. By studying how users of Usenet News select and rate information, we have searched for additional filtering criteria. The term filtering here include the concept of selection, as well as rejection. USER STUDIES In a first pilot study [2] the aim was to investigate how experienced users of Usenet News selected their information and how they..