Improved recommendation based on collaborative tagging behaviors

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2008, Pages 413-416

  Zhao, Shiwan ^a   Du, Nan ^b   Nauerz, Andreas ^c   Zhang, Xiatian ^a   Yuan, Quan ^a   Fu, Rongyao ^a  

^a IBM CHINA RESEARCH LAB   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c IBM   (Germany)

Author keywords

Collaborative filtering; Recommendation; Tag; Web2.0

Indexed keywords

INFORMATION RETRIEVAL SYSTEMS; INFORMATION THEORY; SEMANTICS; SIGNAL FILTERING AND PREDICTION;

COLLABORATIVE FILTERING; DATA SETS; KEY COMPONENTS; RECOMMENDATION; RECOMMENDATION METHODS; RECOMMENDATION SYSTEMS; RECOMMENDER SYSTEMS; SEMANTIC DESCRIPTIONS; SEMANTIC DISTANCES; SHARED RESOURCES; TAG; TAGGING SYSTEMS; USER INPUTS; WEB PAGES; WEB2.0;

USER INTERFACES;

EID: 54949093673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1378773.1378843     Document Type: Conference Paper

References (8)

1. G. Adomavicius and A. Tuzhilin. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extension. IEEE Transaction on Knowledge on Knowledge and Data Engineering, 14(6):734-749, June 2005.
2. S. Banerjee ane T. Pedersen. An adapted lesk algorithm for word sense disambiguation using wordnet. In CICIing '02, pages 136-145, London, UK, 2002. Springer-Verlag.
3. D. Billsus and M. J. Pazzani. Learning collaborative information filters. In proc. 15th International Conf. on Machine Learning, Pages 46-5
4. W. Kraaij and R. Pohlmann. Porter's stemming algorithm for dutch, 1994.
5. V. I. Levenshtein. Binary codes capable of correcting deletions, insertions, and reversals. Technical Report 8, 1966.
6. S. Sood, S. Owsley, K. Hammond, and L. Birnbaum. Tagassist: Automatic tag suggestion for blog posts. March 2007.
7. J. Wang, A. P. de Vries, and M. J. Reinders. A user-item relevance model for log-based collaborative filtering. In Proc. of European Conference on Information Retrieval (ECIR 2006), London, UK, 2006.
8. "http://www-306.ibm.com/software/lotus/products/connections/dogear. html"