Improving recommendations by assigning weights to semantic concepts


Recommender systems are needed due to information overload in the field of libraries. These systems are different than search engines by the way that profiles of users are learned and accordingly recommendations are provided to the users. Agent based framework for developing such recommender system is proposed. The experiment shown cosine similarity is… (More)


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