Intelligent Information Retrieval

Szabolcs Molnár

Elaborated according to: Dunja Mledenic, J. Stefan Institute: Text-Learning and Related Intelligent Agents, IEEE Intelligent Systems & their applications, July/August 1999, pp: 44 - 54

Abstract: The goal of this publication was acquaint readers with problems: searching, filtering and navigation on the Web and the Internet. We compare two frequently used approaches - content-based versus collaborative - for developing intelligent agents. In the first approach, the content (for example, text) plays an important role, while in the second approach, several knowledge source (for example, several users) are required. We focuses on three key criteria: what representation the particulr application uses for documents, how it selects features, and what learning algorithm it uses. We gives examples of intelligent agents for locating information on the Web, filtering Usenet news, and browsing with Personal Web Watcher, a user-costumized agent.

Key words: intelligent agent, intelligent information retrieval, content based approaches, collaborative approaches

Full paper (in slovak)

Knowledge-Based Systems
Autumn Semester 2000/2001