A Taxonomy of Recommender Agents on the Internet

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A Taxonomy of Recommender Agents on the Internet (2003)

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by Miquel Montaner , Beatriz López , Josep Lluís de la Rosa

Venue:	ARTIFICIAL INTELLIGENCE REVIEW
Citations:	77 - 1 self

BibTeX

@MISC{Montaner03ataxonomy,
    author = {Miquel Montaner and Beatriz López and Josep Lluís de la Rosa},
    title = {A Taxonomy of Recommender Agents on the Internet},
    year = {2003}
}

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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.

Keyphrases

recommender agent recommender system basic dimension artificial intelligence technique cross-dimensional analysis intelligent software agent starting point personalized search engine intelligent recommender agent large amount vast quantity different system state-of-the-art taxonomy

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