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VLDB
2004
ACM
155views Database» more  VLDB 2004»
13 years 9 months ago
AWESOME - A Data Warehouse-based System for Adaptive Website Recommendations
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many f...
Andreas Thor, Erhard Rahm
VLDB
2005
ACM
146views Database» more  VLDB 2005»
14 years 4 months ago
Adaptive website recommendations with AWESOME
Recommendations are crucial for the success of large websites. While there are many ways to determine recommendations, the relative quality of these recommenders depends on many fa...
Andreas Thor, Nick Golovin, Erhard Rahm
CNSR
2005
IEEE
128views Communications» more  CNSR 2005»
13 years 10 months ago
ARAS: Adaptive Recommender for Academic Scheduling
This paper describes ARAS, a prototype adaptive website based on a novel and general adaptive website framework. ARAS acts as a course counselor, guiding students through an onlin...
Mark Kilfoil, Wenpu Xing, Ali A. Ghorbani
CE
2008
122views more  CE 2008»
13 years 4 months ago
Ubiquitous learning website: Scaffold learners by mobile devices with information-aware techniques
The portability and immediate communication properties of mobile devices influence the learning processes in interacting with peers, accessing resources and transferring data. For...
G. D. Chen, C. K. Chang, C. Y. Wang
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
14 years 1 months ago
Pairwise Interaction Tensor Factorization for Personalized Tag Recommendation
Tagging plays an important role in many recent websites. Recommender systems can help to suggest a user the tags he might want to use for tagging a specific item. Factorization mo...
Steffen Rendle, Lars Schmidt-Thieme