Recommendation with Differential Context Weighting

Author:

Zheng Yong,Burke Robin,Mobasher Bamshad

Publisher

Springer Berlin Heidelberg

Reference30 articles.

1. Abdelwahab, A., Sekiya, H., Matsuba, I., Horiuchi, Y., Kuroiwa, S.: Feature optimization approach for improving the collaborative filtering performance using particle swarm optimization. Journal of Computational Information Systems 8(1), 435–450 (2012)

2. Adomavicius, G., Mobasher, B., Ricci, F., Tuzhilin, A.: Context-aware recommender systems. AI Magazine 32(3), 67–80 (2011)

3. Adomavicius, G., Sankaranarayanan, R., Sen, S., Tuzhilin, A.: Incorporating contextual information in recommender systems using a multidimensional approach. ACM Transactions on Information Systems (TOIS) 23(1), 103–145 (2005)

4. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems. In: Recommender Systems Handbook, pp. 217–253 (2011)

5. Tasič, J.F., Košir, A., Odic, A., Tkalcic, M.: Relevant context in a movie recommender system: Users opinion vs. statistical detection. In: ACM RecSys 2012, Proceedings of the 4th International Workshop on Context-Aware Recommender Systems (CARS 2012). ACM (2012)

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