Improving recommendation novelty based on topic taxonomy

Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007

Volumn , Issue , 2007, Pages 115-118

  Weng, Li Tung ^a   Xu, Yue ^a   Li, Yuefeng ^a   Nayak, Richi ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER BASED; COLLABORATIVE FILTERING; COMPUTATION EFFICIENCY; INTELLIGENT AGENT TECHNOLOGY; INTERNATIONAL CONFERENCES; RECOMMENDATION QUALITY; RECOMMENDATION SYSTEMS; RECOMMENDER SYSTEMS; USER CLUSTERS; WEB INTELLIGENCE;

TAXONOMIES; TECHNOLOGY;

CHLORINE COMPOUNDS;

EID: 48149099422     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WIIATW.2007.4427553     Document Type: Conference Paper

References (5)

1. R. Burke, "Hybrid Recommender Systems: Survey and Experiments," User Modeling and User-Adapted Interaction, vol. 12, pp. 331-370, 2002.
2. P. Melville, R. Mooney, and R. Nagarajan, "Contentboosted collaborative filtering for improved recommendations," presented at Proceedings of 18th National Conference on Artificial Intelligence, 2002.
3. O. v. Meteren and M. v. Someren, "Using Content-Based Filtering for Recommendation," presented at ECML2000 Workshop, 2000.
4. A. I. Schein, A. Popescul, L. H. Ungar, and D. M. Pennock, "Methods and Metrics for Cold-start Recommendations," presented at Proceedings of 25th annual international ACM SIGIR conference on Research and development in information retrieval, Tampere, Finland, 2002.
5. C.-N. Ziegler, G. Lausen, and L. Schmidt-Thieme, "Taxonomy-driven Computation of Product Recommendations " presented at International Conference on Information and Knowledge Management Washington D.C., USA 2004.