To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Data sparsity is a major problem for collaborative filtering (CF) techniques in recommender systems, especially for new users and items. We observe that, while our target data are...
Weike Pan, Evan Wei Xiang, Nathan Nan Liu, Qiang Y...
A typical online Business Intelligence (BI) workload consists of a combination of short, less intensive queries, along with long, resource intensive queries. As such, the longest ...
Chetan Gupta, Abhay Mehta, Song Wang, Umeshwar Day...
This paper proposes a framework that provides significant speed-ups and also improves the effectiveness of general message passing algorithms based on dual LP relaxations. It is ap...
An important factor that impacts the effectiveness of security systems within an organization is the usability of security management tools. In this paper, we present a survey of ...
Pooya Jaferian, David Botta, Fahimeh Raja, Kirstie...