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...
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
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
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...
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...