Item Group Recommendation
Author:
Affiliation:
1. Chinese Academy of Sciences, Beijing, China
2. The University of Adelaide, Melbourne, Australia
3. Victoria University, Melbourne, Australia
Funder
National Natural Science Foundation of China
Publisher
ACM Press
Reference22 articles.
1. S. Amer-Yahia, S. B. Roy, A. Chawlat, G. Das, and C. Yu. Group recommendation: Semantics and efficiency. Proceedings of the VLDB Endowment, 2(1):754--765, 2009.
2. N. Armenatzoglou, H. Pham, V. Ntranos, D. Papadias, and C. Shahabi. Real-time multi-criteria social graph partitioning: A game theoretic approach. In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pages 1617--1628. ACM, 2015.
3. M. Balabanović and Y. Shoham. Fab: content-based, collaborative recommendation. Communications of the ACM, 40(3):66--72, 1997.
4. L. Baltrunas, T. Makcinskas, and F. Ricci. Group recommendations with rank aggregation and collaborative filtering. In Proceedings of the fourth ACM conference on Recommender systems, pages 119--126. ACM, 2010.
5. S. Basu Roy, L. V. Lakshmanan, and R. Liu. From group recommendations to group formation. In Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pages 1603--1616. ACM, 2015.
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