Improving Results and Performance of Collaborative Filtering-based Recommender Systems using Cuckoo Optimization Algorithm

Abstract

An approach for improving quality and performance of collaborative filtering-based recommender systems is proposed in this paper. A slight change on similarity metric is proposed. To obtain more accurate similarity measurement between two users, similarity measurement method needs a well-chosen weight vector. Different weight vectors could be employed based… (More)

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Cite this paper

@inproceedings{Hatami2014ImprovingRA, title={Improving Results and Performance of Collaborative Filtering-based Recommender Systems using Cuckoo Optimization Algorithm}, author={Majid Hatami and Saeid Pashazadeh}, year={2014} }