Hybrid-ε-greedy for Mobile Context-Aware Recommender System-Reference-Cited by-同舟云学术

Hybrid-ε-greedy for Mobile Context-Aware Recommender System

Published:2012 Issue: Volume: Page:468-479
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Bouneffouf Djallel,Bouzeghoub Amel,Gançarski Alda Lopes

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-30217-6_39

Reference13 articles.

1. Bellotti, V., Begole, B., Chi, E.H., Ducheneaut, N., Fang, J., Isaacs, E., King, T., Newman, M.W., Walendowski, A.: Scalable architecture for context-aware activity-detecting mobile recommendation system. In: 9th IEEE International Symposium on a World of Wireless, WOWMOM 2008 (2008)

2. Lakshmish, R., Deepak, P., Ramana, P., Kutila, G., Dinesh, G., Karthik, V., Shivkumar, K.: A Mobile context-aware, Social Recommender System for Low-End Mobile Devices. In: Tenth International Conference on Mobile Data Management: CAESAR 2009, pp. 338–347 (2009)

3. Lihong, L., Wei, C., Langford, J., Schapire, R.E.: A Contextual-Bandit Approach to Personalized News Article Recommendation. Presented at the Nineteenth International Conference on World Wide Web, CoRR 2010, Raleigh, vol. abs/1002.4058 (2010)

4. Lecture Notes in Computer Science;O. Bouidghaghen,2009

5. Panayiotou, C., Maria, I., Samaras, G.: Using time and activity in personalization for the mobile user. In: On Fifth ACM International Workshop on Data Engineering for Wireless and Mobile Access, MobiDE 2006, pp. 87–90 (2006)

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. Reinforcement learning for personalization: A systematic literature review;Data Science;2020-11-11

2. A Bandit Approach for Intelligent IoT Service Composition across Heterogeneous Smart Spaces;Proceedings of the 6th International Conference on the Internet of Things;2016-11-07

3. Risk-Aware Recommender Systems;Neural Information Processing;2013