Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges-Reference-Cited by-同舟云学术

Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges

Published:2016 Issue: Volume: Page:889-892
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Boratto Ludovico

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30671-1_87

Reference12 articles.

1. Amer-Yahia, S., Omidvar-Tehrani, B., Basu Roy, S., Shabib, N.: Group recommendation with temporal affinities. In: Proceedings of 18th International Conference on Extending Database Technology (EDBT), pp. 421–432. OpenProceedings.org (2015)

2. Studies in Computational Intelligence;L Boratto,2010

3. Boratto, L., Carta, S.: Using collaborative filtering to overcome the curse of dimensionality when clustering users in a group recommender system. In: ICEIS 2014 - Proceedings of 16th International Conference on Enterprise Information Systems, vol. 2. pp. 564–572. SciTePress (2014)

4. Carvalho, L.A.M., Macedo, H.T.: Generation of coalition structures to provide proper groups’ formation in group recommender systems. In: Proceedings of 22nd International Conference on World Wide Web Companion, pp. 945–950. International World Wide Web Conferences Steering Committee (2013)

5. Chen, J., Liu, Y., Li, D.: Dynamic group recommendation with modified collaborative filtering and temporal factor. Int. Arab J. Inf. Technol. (IAJIT) (2014)

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