Recommender systems attempt to reduce information overload and retain customers by selecting a subset of items from a universal set based on user preferences. While research in rec...
The ability to retain and lock members in competitive situations is an important concern of online social network sites. In this study, we proposed a research model to investigate...
Na Shi, Matthew K. O. Lee, Christy M. K. Cheung, H...
The paper develops a novel computational framework for predicting communication flow in social networks based on several contextual features. The problem is important because pred...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
Recent work on anonymizing online social networks (OSNs) has looked at privacy preserving techniques for publishing a single instance of the network. However, OSNs evolve and a si...
Smriti Bhagat, Graham Cormode, Balachander Krishna...
In search engines, ranking algorithms measure the importance and relevance of documents mainly based on the contents and relationships between documents. User attributes are usual...