Despite the tremendous popularity of social network sites both on the web and within enterprises, the relationship information they contain may be often incomplete or outdated. We...
Ido Guy, Adam Perer, Tal Daniel, Ohad Greenshpan, ...
Background: The inference of a genetic network is a problem in which mutual interactions among genes are deduced using time-series of gene expression patterns. While a number of m...
In this paper, we propose examining the participants in various meetings or communications within a social network, and using sequential inference based on these participant lists...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...