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» Recommendation Systems: A Probabilistic Analysis
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RECSYS
2009
ACM
16 years 7 days 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
15 years 3 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»
16 years 16 days 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
16 years 21 days 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
15 years 11 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