Merging user and item based collaborative filtering to alleviate data sparsity
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
http://link.springer.com/article/10.1007/s13198-016-0500-9/fulltext.html
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3. Birtolo C, Ronca D, Armenise R, Ascione M (2011) Personalized suggestions by means of collaborative filtering: a comparison of two different model-based techniques. In Nature and biologically inspired computing (NaBIC), 2011 third world Congress on IEEE, pp 444–450. doi: 10.1109/NaBIC.2011.6089628 .
4. Bobadilla J, Ortega F, Hernando A, Gutiérrez A (2013) Recommender systems survey. Knowl-Based Syst 46:109–132. doi: 10.1016/j.knosys.2013.03.012
5. Cacheda F, Carneiro V, Fernández D, Formoso V (2011) Comparison of collaborative filtering algorithms. ACM Trans Web 5(1):1–33. doi: 10.1145/1921591.1921593
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