Improving collaborative recommendations using vector quantization and clustering
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
http://link.springer.com/content/pdf/10.1007/s13278-016-0377-2.pdf
Reference18 articles.
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3. Ekstrand MD, Riedl JT, Konstan JA (2011) Collaborative filtering recommender systems. Found Trends Hum Comput Interact 4:81–173
4. Koren Y, Bell R (2011) Advances in collaborative filtering. Recommender systems handbook. Springer, New York
5. Lika B, Kolomvatsos K, Hadjiefthymiades S (2014) Facing the cold start problem in recommender systems. Expert Syst Appl 41:2065–2073
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