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JISE
2007
171views more  JISE 2007»
13 years 4 months ago
Association Thesaurus Construction for Interactive Query Expansion Based on Association Rule Mining
This paper presents an interactive query expansion method with association thesaurus, which is mined from the ‘selected web pages’ of users in the query logs. The ‘selected w...
Hahn-Ming Lee, Chi-Chun Huang, Chun-Yen Chao
PRICAI
2004
Springer
13 years 10 months ago
A New Collaborative Recommender System Addressing Three Problems
Abstract. With the development of e-commerce and information access, a large amount of information can be found online, which makes a good recommendation service to be urgently nec...
Byeong Man Kim, Qing Li, Jong-Wan Kim, Jinsoo Kim
JUCS
2008
148views more  JUCS 2008»
13 years 4 months ago
Learner Course Recommendation in e-Learning Based on Swarm Intelligence
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
Ana Belén Gil, Francisco José Garc&i...
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
13 years 11 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
DEBU
2008
186views more  DEBU 2008»
13 years 4 months ago
A Survey of Collaborative Recommendation and the Robustness of Model-Based Algorithms
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Jeff J. Sandvig, Bamshad Mobasher, Robin D. Burke