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» Estimating Probabilities in Recommendation Systems
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ICASSP
2008
IEEE
14 years 1 months ago
Robust multiuser detection based on probability constrained optimization of the MMSE receiver
The performance of multiuser detection (MUD) algorithms for codedivision multiple-access (CDMA) systems depends on the accuracy of channel estimates. Such estimates are typically ...
Sergiy A. Vorobyov
ACL
2009
13 years 4 months ago
Setting Up User Action Probabilities in User Simulations for Dialog System Development
User simulations are shown to be useful in spoken dialog system development. Since most current user simulations deploy probability models to mimic human user behaviors, how to se...
Hua Ai, Diane J. Litman
AAAI
2006
13 years 8 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
HT
2010
ACM
13 years 4 months ago
Enhancing search applications by utilizing mind maps
In this paper we present how sharing and utilizing mind maps could enhance search applications such as document search engines and recommender systems. In addition, we briefly pre...
Jöran Beel, Bela Gipp
DEBU
2008
165views more  DEBU 2008»
13 years 7 months ago
A Survey of Attack-Resistant Collaborative Filtering Algorithms
With the increasing popularity of recommender systems in commercial services, the quality of recommendations has increasingly become an important to study, much like the quality o...
Bhaskar Mehta, Thomas Hofmann