Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
Jun Wang, Arjen P. de Vries, Marcel J. T. Reinders
Subgraph matching is a key operation on graph data. Social network (SN) providers may want to find all subgraphs within their social network that "match" certain query gr...
Work on evaluating and improving the relevance of web search engines typically use human relevance judgments or clickthrough data. Both these methods look at the problem of learni...
Hao Ma, Raman Chandrasekar, Chris Quirk, Abhishek ...
Reading of electronic documents is becoming increasingly important as more information is disseminated electronically. We present an experiment that compares the usability of a li...
Mobile clients retrieve and update databases at servers. They use transactions in order to ensure the consistency of shared data in the presence of concurrent accesses. Transactio...
IlYoung Chung, Bharat K. Bhargava, Malika Mahoui, ...