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ECIS
2003
13 years 11 months ago
Enhancing partner matching with recommendation systems
Collaboration is vital for the survival of companies in today’s fast moving economy and, therefore, finding and matching partners is an important task. This is true for many dif...
Tobias Keim, Frank Färber, Tim Weitzel
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 10 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
HICSS
2007
IEEE
135views Biometrics» more  HICSS 2007»
14 years 4 months ago
Extending the Applicability of Recommender Systems: A Multilayer Framework for Matching Human Resources
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
Tobias Keim
ECAI
2008
Springer
13 years 12 months ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
TLT
2010
143views more  TLT 2010»
13 years 8 months ago
Recommendations in Online Discussion Forums for E-Learning Systems
—In this paper, we outline the importance of discussion fora for e-learning applications. Due to a weak structure or size of the discussion forum, recommendations are required in...
Fabian Abel, Ig Ibert Bittencourt, Evandro de Barr...