1. Bell, R.M., Koren, Y.: Improved neighborhood-based collaborative filtering. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’07), pp. 7–14 (2007)
2. Burke, R., Mobasher, B., et al.: Classification features for attack detection in collaborative recommendation systems. In: Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD’06), pp. 542–547 (2006)
3. Cacheda, F., Carneiro, V., Fernandez, D., Formoso, V.: Comparison of collaborative filtering algorithms: limitations of current techniques and proposals for scalable, high-performance recommender systems. ACM Trans. Web (TWEB’11) 5(1), 3–34 (2011)
4. Castelli, V., Cover, T.M.: On the exponential value of labeled samples. Pattern Recogn. Lett. 16(1), 105–111 (1995)
5. Chiang, M.F., Peng, W.C., Yu, P.S.: Exploring latent browsing graph for question answering recommendation. WWWJ (2012). doi: 10.1007/s11280-011-0146-0