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UM
2005
Springer
14 years 1 months ago
Task-Oriented Web User Modeling for Recommendation
Abstract. We propose an approach for modeling the navigational behavior of Web users based on task-level patterns. The discovered “tasks” are characterized probabilistically as...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ECTEL
2009
Springer
13 years 11 months ago
ReMashed - Recommendations for Mash-Up Personal Learning Environments
Abstract. The following article presents a Mash-Up Personal Learning Environment called ReMashed that recommends learning resources from emerging information of a Learning Network....
Hendrik Drachsler, Dries Pecceu, Tanja Arts, Edwin...
EXACT
2008
13 years 10 months ago
Explaining recommendations generated by MDPs
There has been little work in explaining recommendations generated by Markov Decision Processes (MDPs). We analyze the difculty of explaining policies computed automatically and id...
Omar Zia Khan, Pascal Poupart, James P. Black
ECAI
2008
Springer
13 years 10 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
AIA
2007
13 years 9 months ago
Adaptive preference elicitation for top-K recommendation tasks using GAI-networks
The enormous number of questions needed to acquire a full preference model when the size of the outcome space is large forces us to work with partial models that approximate the u...
Sérgio R. de M. Queiroz