A NOVEL TERM WEIGHTING SCHEME FOR A FUZZY LOGIC BASED INTELLIGENT WEB AGENT

摘要

Term Weighting (TW) is one of the most important tasks for Information Retrieval (IR). To solve the TW problem, many authors have considered Vector Space Model, and specifically, they have used the TF-IDF method. As this method does not take into account some of the features of terms, we propose a novel alternative fuzzy logic based method for TW in IR. TW is an essential task for the Web Intelligent Agent we are developing. Intelligent Agent mode of operation is also explained in the paper. An application of the Intelligent Agent will be in operation soon for the University of Seville web portal.