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AI
2009
Springer
14 years 3 months ago
Context Dependent Movie Recommendations Using a Hierarchical Bayesian Model
Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Daniel Pomerantz, Gregory Dudek
IISWC
2009
IEEE
14 years 3 months ago
Understanding PARSEC performance on contemporary CMPs
PARSEC is a reference application suite used in industry and academia to assess new Chip Multiprocessor (CMP) designs. No investigation to date has profiled PARSEC on real hardwa...
Major Bhadauria, Vincent M. Weaver, Sally A. McKee
ACMICEC
2007
ACM
154views ECommerce» more  ACMICEC 2007»
14 years 1 months ago
Learning and adaptivity in interactive recommender systems
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
Tariq Mahmood, Francesco Ricci
SAMT
2007
Springer
136views Multimedia» more  SAMT 2007»
14 years 3 months ago
Automatic Recommendations for Machine-Assisted Multimedia Annotation: A Knowledge-Mining Approach
Recommender systems apply knowledge discovery techniques to help in finding associated information. In this paper, we investigate the use of association rule mining as an underlyi...
Mónica Díez, Paulo Villegas
IFIPTM
2009
171views Management» more  IFIPTM 2009»
13 years 6 months ago
Trust-Enhanced Recommender Systems for Efficient On-Line Collaboration
Trust has been explored by many researchers in the past as a solution for assisting the process of recommendation production. In this work we are examining the feasibility of build...
Georgios Pitsilis