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AH
2004
Springer
15 years 1 months ago
Evaluating Information Filtering Techniques in an Adaptive Recommender System
Abstract. With the huge increase in the volume of information available in digital form and the increasing diversity of Web applications, the need for efficient, reliable, informat...
John O'Donovan, John Dunnion
IJCAI
1989
14 years 11 months ago
Correct Parallel Status Assignment for the Reason Maintenance System
This paper represents a beginning development of a parallel truth maintenance system to interact with a parallel inference engine. We present a solution which performs status assi...
Rosanne M. Fulcomer, William E. Ball
AUTOMATICA
2007
62views more  AUTOMATICA 2007»
14 years 10 months ago
Further results on structural assignment of linear systems via sensor selection
The problem of assigning structural properties of a linear system through sensor selection is, for a given pair (A, B), to find an output pair (C, D) such that the resulting syst...
Xinmin Liu, Zongli Lin, Ben M. Chen
KCAP
2003
ACM
15 years 3 months ago
Capturing interest through inference and visualization: ontological user profiling in recommender systems
Tools for filtering the World Wide Web exist, but they are hampered by the difficulty of capturing user preferences in such a diverse and dynamic environment. Recommender systems ...
Stuart E. Middleton, Nigel R. Shadbolt, David De R...
ACMICEC
2008
ACM
272views ECommerce» more  ACMICEC 2008»
14 years 11 months ago
Adapting the interaction state model in conversational recommender systems
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Tariq Mahmood, Francesco Ricci