Using quantitative association rules in collaborative filtering

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3739 LNCS, Issue , 2005, Pages 822-827

  Sun, Xiaohua ^a   Kong, Fansheng ^a   Chen, Hong ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b Hangzhou Bell Telecommunication System Co Ltd   (China)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; DATABASE SYSTEMS; PROBLEM ORIENTED LANGUAGES; SIGNAL FILTERING AND PREDICTION; USER INTERFACES;

DATASETS; INFORMATION FILTERING; RECOMMENDER SYSTEMS;

INFORMATION DISSEMINATION;

EID: 33646511705     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11563952_87     Document Type: Conference Paper

References (8)

1. MovieLensdataset, http://www.cs.umn.edu/Research/GroupLens/index. html(2001)
2. Agrawal, R. and Srikant, R., Fast algorithms for mining association rules, In Jorge B.Bocca, Matthias Jarke, and Carlo Zaniolo, editors, Proc.20th Int.Conf.Very Large Data Bases, VLDB, Santiago, Chile (1994) 487-499
3. Goldberg, K., Roeder, T., Gupta, D., and Perkins, C., Eigentaste: A constant time collaborative filtering algorithm, Information Retrieval, Vol.4(2), (2001)133-151
4. Herlocker, J. L., Konstan, J. A., Borchers, A., and Riedl, J., An Algorithmic Framework for Performing Collaborative Filtering, In Proceedings of ACM SIGIR'99, ACM press (1999)
5. Jiawei Han and Micheline Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann (2000)
6. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., and Riedl, J., GroupLens: An Open Architecture for Collaborative Filtering of Netnews, In Proceedings of CSCW '94, Chapel Hill, NC (1994)
7. Sarwar, B. M., Karypis, G., Konstan, J. A., and Riedl, J., Item-based collaborative filtering recommendation algorithm, Proceedings of the Tenth International World Wide Web Conference, ACM Press (2001) 285-295
8. Srikant, R. and Agrawal, R., Mining Quantitative Association Rules in Large Relational Tables, SIGMOD'96, Montreal, Canada (1996) 1-12