Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modeling and Simulation,Information Systems
Reference42 articles.
1. Ahmadian, S., Afsharchi, M., Meghdadi, M.: A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems. Multimedia Tools Appl. 78(13), 17763–17798 (2019)
2. Bernardi, L., Kamps, J., Kiseleva, J., Müller, M.: The continuous cold-start problem in e-commerce recommender systems. CBRecSys@RecSys (2015)
3. Bobadilla, J., Ortega, F., Hernando, A., Gutiérrez, A.: Recommender systems survey. Knowl.-Based Syst. 46, 109–132 (2013). https://doi.org/10.1016/j.knosys.2013.03.012
4. Bogers, T., Van den Bosch, A.: Recommending scientific articles using citeulike. In: Proceedings of the 2008 ACM conference on Recommender systems, pp. 287–290 (2008)
5. Chee, S.H.S., Han, J., Wang, K.: Rectree: an efficient collaborative filtering method. In: International Conference on Data Warehousing and Knowledge Discovery. Springer, pp. 141–151 (2001)
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