A Collaborative Filtering Recommendation Algorithm Based on Hierarchical Structure and Time Awareness-Reference-Cited by-同舟云学术

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A Collaborative Filtering Recommendation Algorithm Based on Hierarchical Structure and Time Awareness

Published:2016 Issue:6 Volume:E99.D Page:1512-1520
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

MA Tinghuai¹²,GUO Limin²,TANG Meili³,TIAN Yuan⁴,AL-RODHAAN Mznah⁴,AL-DHELAAN Abdullah⁴

Affiliation:

1. School of Computer, Nanjing University of Information Science & Technology

2. Jiangsu Engineering Centre of Network Monitoring, Nanjing University of Information Science & Technology

3. School of Public Administration, Nanjing University of Information Science & Technology

4. Computer Science Department, College of Computer and Information Science, King Saud University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E99.D/6/E99.D_2015EDP7380/_pdf

Reference28 articles.

1. [1] W. Hill, L. Stead, M. Rosenstein, and G. Furnas, “Recommending and evaluating choices in a virtual community of use,” Proceeding CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, ACM, pp.194-201, 1995.

2. [2] B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, “Item-based collaborative filtering recommendation algorithms,” Proceeding WWW '01 Proceedings of the 10th international conference on World Wide Web, ACM New York, NY, USA, pp.285-295, 2001.

3. [3] B. Marlin, Collaborative filtering: A machine learning perspective, Master's thesis, University of Toronto, 2004.

4. [4] G. Linden, B. Smith, and J. York, “Amazon.com recommendations: Item-to-item collaborative filtering,” Internet Computing, IEEE, vol.7, no.1, pp.76-80, 2003.

5. [5] G. Adomavicius and A. Tuzhilin, “Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions,” Knowledge and Data Engineering, IEEE Transactions, vol.17, no.6, pp.734-749, 2005.

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