Applying Associative Retrieval Techniques to Alleviate the Sparsity Problem in Collaborative Filtering ZAN HUANG HSINCHUN CHEN and DANIEL ZENG The University of Arizona Recommender systems are being

Collaborative 64257ltering the most success ful recommendation approach makes recommendations based on past transactions and feedback from consumers sharing similar interests A major problem limiting the usefulness of collaborative 64257ltering is t

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