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- Title
A Taxonomy of Recommender Agents on the Internet.
- Authors
Miquel Montaner; Beatriz López; Josep Lluís de la Rosa
- Abstract
Recently, Artificial Intelligence techniques have proved useful in helping users to handle the large amount of information on the Internet. The idea of personalized search engines, intelligent software agents, and recommender systems has been widely accepted among users who require assistance in searching, sorting, classifying, filtering and sharing this vast quantity of information. In this paper, we present a state-of-the-art taxonomy of intelligent recommender agents on the Internet. We have analyzed 37 different systems and their references and have sorted them into a list of 8 basic dimensions. These dimensions are then used to establish a taxonomy under which the systems analyzed are classified. Finally, we conclude this paper with a cross-dimensional analysis with the aim of providing a starting point for researchers to construct their own recommender system.
- Subjects
ARTIFICIAL intelligence; INFORMATION storage &; retrieval systems; ENGINEERING databases; INTELLIGENT agents; ONLINE information services
- Publication
Artificial Intelligence Review, 2003, Vol 19, Issue 4, p285
- ISSN
0269-2821
- Publication type
Article
- DOI
10.1023/A:1022850703159