Case-based recommender systems

Recommender systems can find user interested information based on the information filtering algorithms. Collaborative filtering technique has been proved to be one of the most successful techniques in recommender systems. And there are two approaches: ...

Over the past several years, research in recommender systems has emphasized the importance of serendipity, but there is still no consensus on the definition of this concept and whether serendipitous items should be recommended is still not a well-...

Enhancing memory-based collaborative filtering techniques for group recommender systems by resolving the data sparsity problem.Comparing the proposed method's accuracy with basic memory-based techniques and latent factor model.Makeing accurate ...