A personal evolvable advisor for WWW knowledge-based systems

Abstract

The immense size of the distributed WWW knowledge-base and the dramatic rapid increase in the volume of data on the Internet, requires techniques and tools that reduce users’ information overload and improve the effectiveness of online information access. Despite the potential benefits of existing indexing, retrieving and searching techniques in assisting users in the browsing process, little has been done to ensure that the information presented is of a high recall and precision standard. In this position paper we present a system that reuses the information generated from search engines together with previously developed systems, and adapts it, by generating user profiles, to better meet the needs and interests of the users by improving recall and precision measures.