1. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Trans. Knowl. Data Eng. (IEEE TKDE),2005
2. Recommender systems survey;Bobadilla;Knowl.-Based Syst.,2013
3. Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu, Boosting for transfer learning, in: Proceedings of the 24th International Conference on Machine Learning, ICML ’07, 2007, pp. 193–200.
4. Abhinandan S. Das, Mayur Datar, Ashutosh Garg, Shyam Rajaram, Google news personalization: scalable online collaborative filtering, in: Proceedings of the 16th International Conference on World Wide Web, WWW ’07, 2007, pp. 271–280.
5. Yoav Freund, Robert E. Schapire, A decision-theoretic generalization of on-line learning and an application to boosting, in: Proceedings of the 2nd European Conference on Computational Learning Theory, EuroCOLT ’95, 1995, pp. 23–37.