ACM Transactions on Intelligent Systems and Technology (TIST) - Regular Papers, Survey Papers and Special Issue on Recommender System Benchmarks: Volume 7 Issue 3, April 2016
Citation Count: 3
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The primary goal of a recommender system is to generate high quality user-centred recommendations. However, the traditional evaluation methods and metrics were developed before researchers understood all the factors that increase user satisfaction. This study is an introduction to a novel user and item classification framework. It is proposed that ...
Recommender systems, collaborative filtering, recommendation diversity, recommendation accuracy, performance evaluation metrics, recommendation quality