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TLT
2008
93views more  TLT 2008»
13 years 4 months ago
What Do You Prefer? Using Preferences to Enhance Learning Technology
While the growing number of learning resources increases the choice for learners on how, what and when to learn, it also makes it more and more difficult to find the learning resou...
Philipp Kärger, Daniel Olmedilla, Fabian Abel...
UM
2007
Springer
13 years 11 months ago
Capturing User Interests by Both Exploitation and Exploration
Personalization is one of the important research issues in the areas of information retrieval and Web search. Providing personalized services that are tailored toward the specific...
Ka Cheung Sia, Shenghuo Zhu, Yun Chi, Koji Hino, B...
CIKM
2010
Springer
13 years 3 months ago
Challenges in personalized authority flow based ranking of social media
As the social interaction of Internet users increases, so does the need to effectively rank social media. We study the challenges of personalized ranking of blog posts. Web search...
Hassan Sayyadi, John Edmonds, Vagelis Hristidis, L...
ECAI
2008
Springer
13 years 6 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
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 4 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz