Evidential Item-Based Collaborative Filtering-Reference-Cited by-同舟云学术

Evidential Item-Based Collaborative Filtering

Published:2016 Issue: Volume: Page:628-639
ISSN:0302-9743
Container-title:Knowledge Science, Engineering and Management
language:
Short-container-title:

Author:

Abdelkhalek Raoua,Boukhris Imen,Elouedi Zied

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-47650-6_49

Reference24 articles.

1. Bobadilla, J., Ortega, F., Hernando, A., Gutierrez, A.: Recommender systems survey. Knowl. Based Syst. 46, 109–132 (2013)

2. Koren, Y., Sill, J.: Collaborative filtering on ordinal user feedback. In: International Joint Conference on Artificial Intelligence, pp. 3022–3026 (2013)

3. Zenebe, A., Norcio, A.F.: Representation, similarity measures and aggregation methods using fuzzy sets for content-based recommender systems. Fuzzy Sets Syst. 160(1), 76–94 (2009)

4. Boulkrinat, S., Hadjali, A., Aissani Mokhtari, A.: Handling preferences under uncertainty in recommender systems. In: IEEE International Conference on Fuzzy Systems, pp. 2262–2269 (2014)

5. Yu, K., Schwaighofer, A., Tresp, V., Xu, X., Kriegel, H.-P.: Probabilistic memory-based collaborative filtering. IEEE Trans. Knowl. Data Eng. 16(1), 56–69 (2004)

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dempster-Shafer Theory in Recommender Systems: A Survey;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2024-07

2. Scalable Evidential K-Nearest Neighbor Classification on Big Data;IEEE Transactions on Big Data;2023

3. Towards more trustworthy predictions: A hybrid evidential movie recommender system;JUCS - Journal of Universal Computer Science;2022-10-28

4. ECFAR: A Rule-Based Collaborative Filtering System Dealing with Evidential Data;Intelligent Systems Design and Applications;2022

5. Extended Reality Experiences Prediction using Collaborative Filtering;SIGGRAPH Asia 2019 Doctoral Consortium;2019-11-17