Enhancing the aggregate diversity with mutual trust computations for context-aware recommendations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
https://link.springer.com/content/pdf/10.1007/s12046-021-01795-x.pdf
Reference31 articles.
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3. Verbert K, Manouselis N, Ochoa X, Wolpers M, Drachsler H, Bosnic I and Duval E 2012 Context-aware recommender systems for learning: a survey and future challenges. IEEE transactions on Learning Technologies, 5(4) pp. 318–335
4. Panniello U and Gorgoglione M 2012 Incorporating context into recommender systems: an empirical comparison of context-based approaches. Electronic Commerce Research, 12(1) pp. 1–30
5. Karatzoglou A, Amatriain X, Baltrunas L and Oliver N 2010 Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering. In: Proceedings of the fourth ACM Conference on Recommender Systems, pp. 79–86
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