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» Recommendation Systems: A Probabilistic Analysis
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RECSYS
2009
ACM
14 years 2 months ago
Collaborative prediction and ranking with non-random missing data
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ï¬...
Benjamin M. Marlin, Richard S. Zemel
DOLAP
2010
ACM
13 years 5 months ago
Integrating OLAP and recommender systems: an evaluation perspective
The integration of OLAP with web-search technologies is a promising research topic. Recommender systems are popular web-search mechanisms, because they can address information ove...
Artus Krohn-Grimberghe, Alexandros Nanopoulos, Lar...
ECBS
2009
IEEE
113views Hardware» more  ECBS 2009»
14 years 3 months ago
Modeling and Analysis of Probabilistic Timed Systems
Probabilistic models are useful for analyzing systems which operate under the presence of uncertainty. In this paper, we present a technique for verifying safety and liveness prop...
Abhishek Dubey, Derek Riley, Sherif Abdelwahed, Te...
WWW
2010
ACM
14 years 3 months ago
Context-aware citation recommendation
When you write papers, how many times do you want to make some citations at a place but you are not sure which papers to cite? Do you wish to have a recommendation system which ca...
Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra, C....
QEST
2006
IEEE
14 years 2 months ago
LiQuor: A tool for Qualitative and Quantitative Linear Time analysis of Reactive Systems
LiQuor is a tool for verifying probabilistic reactive systems modelled Probmela programs, which are terms of a probabilistic guarded command language with an operational semantics...
Frank Ciesinski, Christel Baier