Attribute Selection-Based Recommendation Framework for Long-Tail User Group: An Empirical Study on MovieLens Dataset-Reference-Cited by-同舟云学术

Attribute Selection-Based Recommendation Framework for Long-Tail User Group: An Empirical Study on MovieLens Dataset

Published:2011 Issue: Volume: Page:592-601
ISSN:0302-9743
Container-title:Computational Collective Intelligence. Technologies and Applications
language:
Short-container-title:

Author:

Jung Jason J.,Pham Xuan Hau

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-23935-9_58

Reference16 articles.

1. Brusilovsky, P., Sosnovsky, S., Yudelson, M., Kumar, A., Hsiao, S.: User model integration in a distributed adaptive e-learning system. In: Berkovsky, S., Carmagnola, F., Heckmann, D., Kuflik, T., Krüger, A. (eds.) Proceedings of the 6th International Workshop on Ubiquitous User Modeling, pp. 1–10 (2008)

2. Lecture Notes in Computer Science;F.H. Olmo del,2003

3. Lecture Notes in Computer Science;D. Fisk,1997

4. John, R.I., Mooney, G.J.: Fuzzy user modeling for information retrieval on the world wide web. Knowledge and Information Systems 3(1), 81–95 (2001)

5. Jung, J.J.: Ontological framework based on contextual mediation for collaborative information retrieval. Information Retrieval 10(1), 85–109 (2007)

Cited by 4 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. Designing digital actor engagement platforms for local high streets: an action design research study;European Journal of Information Systems;2023-08-08

2. Improving on Neighborhood based Recommendations with a Small World Network derived Novelty metric;IEEE/WIC/ACM International Conference on Web Intelligence - Companion Volume;2019-10-14

3. A Dynamic Web Recommender System Using Hard and Fuzzy K-Modes Clustering;IFIP Advances in Information and Communication Technology;2013

4. Preference-based user rating correction process for interactive recommendation systems;Multimedia Tools and Applications;2012-05-19