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ICWE
2010
Springer
13 years 7 months ago
Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
Daniel Mican, Nicolae Tomai
JUCS
2010
116views more  JUCS 2010»
13 years 7 months ago
Content Recommendation in APOSDLE using the Associative Network
: One of the success factors of Work Integrated Learning (WIL) is to provide the appropriate content to the users, both suitable for the topics they are currently working on, and t...
Hermann Stern, Rene Kaiser, Philip Hofmair, Peter ...
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
13 years 7 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
OOPSLA
2010
Springer
13 years 7 months ago
A recommender for conflict resolution support in optimistic model versioning
The usage of optimistic version control systems comes along with cumbersome and time-consuming conflict resolution in the case that the modifications of two developers are contrad...
Petra Brosch, Martina Seidl, Gerti Kappel
EDM
2009
114views Data Mining» more  EDM 2009»
13 years 6 months ago
Edu-mining for Book Recommendation for Pupils
This paper proposes a novel method for recommending books to pupils based on a framework called Edu-mining. One of the properties of the proposed method is that it uses only loan h...
Ryo Nagata, Keigo Takeda, Koji Suda, Jun'ichi Kake...