A Modified Clustering Algorithm DBSCAN Used in a Collaborative Filtering Recommender System for Music Recommendation-Reference-Cited by-同舟云学术

A Modified Clustering Algorithm DBSCAN Used in a Collaborative Filtering Recommender System for Music Recommendation

Published:2015 Issue: Volume: Page:245-254
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Kużelewska Urszula,Wichowski Krzysztof

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-19216-1_23

Reference19 articles.

1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Transactions on Knowledge and Data Engineering 17(6), 734–749 (2005)

2. Bobadilla, J., Ortega, F., Hernando, A., Gutiérrez, A.: Recommender systems survey. Knowledge-Based Systems 46, 109–132 (2013)

3. Lecture Notes in Artificial Intelligence;L. Candillier,2007

4. Ester, M., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proc. 2nd Int. Conf. on Knowledge Discovery and Data Mining, pp. 226–231. AAAI Press (1996)

5. Jain, A.K., Murty, M., Flynn, P.J.: Data clustering: a review. ACM Computing Surveys 31(3), 264–323 (1999)

Cited by 3 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. Automating DBSCAN via Deep Reinforcement Learning;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

2. MORec: At the crossroads of context-aware and multi-criteria decision making for online music recommendation;Expert Systems with Applications;2021-11

3. Multi Cloud Based Service Recommendation System Using DBSCAN Algorithm;Wireless Personal Communications;2020-08-25