An application of fuzzy geographically clustering for solving the cold-start problem in recommender systems

2013 International Conference on Soft Computing and Pattern Recognition, SoCPaR 2013

Volumn , Issue , 2013, Pages 44-49

  Son, Le Hoang ^a   Cuong, Khuat Manh ^a   Minh, Nguyen Thi Hong ^a   Van Canh, Nguyen ^a  

^a VIETNAM NATIONAL UNIVERSITY   (Viet Nam)

Author keywords

Cold start; Demographic approach; Fuzzy clustering; Recommender systems

Indexed keywords

FUZZY CLUSTERING; PATTERN RECOGNITION; POPULATION STATISTICS; RECOMMENDER SYSTEMS; SOFT COMPUTING;

COLD START; COLD START PROBLEMS; DEMOGRAPHIC APPROACH;

NUMERICAL METHODS;

EID: 84929088729     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SOCPAR.2013.7054096     Document Type: Conference Paper

References (13)

1. A. Said, T. Plumbaum, W. E. De Luca, and S. Albayrak, "A comparison of how demographic data affects recommendation," Proc. 19th international conference on User modeling, adaption, and personalization, 2011.
2. B. Shapira, Recommender systems handbook. Springer, 2011.
3. D. Almazro, G. Shahatah, L. Albdulkarim, M. Kherees, R. Martinez, and W. Nzoukou. "A Survey Paper on Recommender Systems," arXiv preprint arXiv:1006.5278, Dec. 2010.
4. E. Ott, Chaos in Dynamical Systems. New York: Cambridge Press, 2002.
5. G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions," IEEE Trans. on Knowledge and Data Engineering, Vol. 17, 2005, pp. 734-749.
6. G. A. Mason, R. D. Jacobson, "Fuzzy Geographically Weighted Clustering," Proceedings of the 9th International Conference on GeoComputation, Maynooth, Eire, Ireland, 2007.
7. J. B. Schafer, J. Konstan, J. Riedi, "Recommender systems in ecommerce.," Proceedings of the 1st ACM conference on Electronic commerce, 1999, pp. 158-166.
8. Le Hoang Son, Bui Cong Cuong, Pier Luca Lanzi, Nguyen Tho Thong, "A Novel Intuitionistic Fuzzy Clustering Method for Geo-Demographic Analysis," Expert Systems with Applications, Vol. 39, No. 10, 2012, pp. 9848-9859.
9. Le Hoang Son, Bui Cong Cuong, Hoang Viet Long, "Spatial interaction-modification model and applications to geodemographic analysis," Knowledge-Based Systems, Vol. 49, 2013, pp. 152-170.
10. L. Safoury and A. Salah, "Exploiting User Demographic Attributes for Solving Cold-Start Problem in Recommender System," Lecture Notes on Software Engineering, Vol. 1, No. 3, 2013, pp. 303-307.
11. M. Vozalis and K. G. Margaritis, "Collaborative filtering enhanced by demographic correlation," Proc. AIAI Symposium on Professional Practice in AI, of the 18th World Computer Congress, 2004.
12. MovieLens data set, URL: http://www.grouplens.org/node/73.
13. N. Manouselis et al., "Recommender systems challenge 2012", Proceedings of the sixth ACM conference on Recommender systems, 2012, pp. 353-354.