eDAADe: An adaptive recommendation system for comparison and analysis of architectural precedents

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

Volumn 4018 LNCS, Issue , 2006, Pages 370-373

  Pan, Shu Feng ^a   Lee, Ji Hyun ^a  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE FILTERING; COMPUTER SUPPORTED COOPERATIVE WORK; INFORMATION RETRIEVAL; INTERNET; STUDENTS; WORLD WIDE WEB;

ARCHITECTURAL PRECEDENTS; COLLABORATIVE FILTERING; WEB-BASED ADAPTIVE RECOMMENDATION;

ADAPTIVE SYSTEMS;

EID: 33746070122     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11768012_53     Document Type: Conference Paper

References (3)

1. Buono, P., Costabile, M. F., Guida, S. Piccinno, A.: Integrating User Data and Collaborative Filtering in a Web Recommendation System. Lecture Notes in Computer Science (Hypermedia: Openness, Structural Awareness, and Adaptivity) 2266 (2002) 315-321
2. Balabanovic, M., Shoham, Y.: Fab: Content-Based, Collaborative Recommendation. Communications of the ACM 40(3) (1997) 66-72
3. Popescul, A., Ungar, L. H., Pennock, D. M., Lawrence, S.: Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments. Proceedings of the Seventeenth Conference on Uncertainty in Artificial Intelligence (UAI-01) (2001) 437-444