1. Getting recommender systems to think outside the box;Abbassi,2009
2. Adomavicius, G., & Kwon, Y. (2011). Maximizing aggregate recommendation diversity: A graph–theoretic approach. In Proceedings of workshop on novelty and diversity in recommender systems (pp. 3–10).
3. Power coefficient as a similarity measure for memory-based collaborative recommender systems;Al-Shamri;Expert Systems with Applications,2014
4. Utilizing various sparsity measures for enhancing accuracy of collaborative recommender systems based on local and global similarities;Anand;Expert Systems with Applications,2011
5. Anderson, C. (2006). The long tail: Why the future of business is selling less of more. Hyperion.