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GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
14 years 3 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
AVI
2004
13 years 10 months ago
More than the sum of its members: challenges for group recommender systems
Systems that recommend items to a group of two or more users raise a number of challenging issues that are so far only partly understood. This paper identifies four of these issue...
Anthony Jameson
ECIS
2003
13 years 10 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 9 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 3 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