Author:
Aytekin Tevfik,Karakaya Mahmut Özge
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software
Reference33 articles.
1. 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). Chicago, Illinois, USA.
2. Adomavicius, G., & Kwon, Y. (2012). Improving aggregate recommendation diversity using ranking-based techniques. IEEE Transactions on Knowledge and Data Engineering, 24(5), 896–911.
3. Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering, 17(6), 734–749.
4. Ahn, H.J. (2008). A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Information Sciences, 178(1), 37–51.
5. Bell, R.M., Koren, Y., Volinsky, C. (2007). Modeling relationships at multiple scales to improve accuracy of large recommender systems. In Proceedings of the 13th ACM international conference on knowledge discovery and data mining (pp. 95–104). San Jose, California, USA.
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