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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/807

Title: An Approach to Collaborative Filtering by ARTMAP Neural Networks
Authors: Nachev, Anatoli
Keywords: Neural Networks
ARTMAP
Collaborative Filtering
Issue Date: 2005
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Recommender systems are now widely used in e-commerce applications to assist customers to find relevant products from the many that are frequently available. Collaborative filtering (CF) is a key component of many of these systems, in which recommendations are made to users based on the opinions of similar users in a system. This paper presents a model-based approach to CF by using supervised ARTMAP neural networks (NN). This approach deploys formation of reference vectors, which makes a CF recommendation system able to classify user profile patterns into classes of similar profiles. Empirical results reported show that the proposed approach performs better than similar CF systems based on unsupervised ART2 NN or neighbourhood-based algorithm.
URI: http://hdl.handle.net/10525/807
ISSN: 1313-0463
Appears in Collections:Volume 12 Number 3

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