We present a method for learning potentially intransitive preference relations from pairwise comparison and matchup data. Unlike standard preference-learning models that represent...
Massive Open Online Courses (MOOCs), which collect complete records of all student interactions in an online learning environment, offer us an unprecedented opportunity to analyze...
Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, ...
Given a history of detected malware attacks, can we predict the number of malware infections in a country? Can we do this for different malware and countries? This is an importan...
Chanhyun Kang, Noseong Park, B. Aditya Prakash, Ed...
We propose a method of optimizing search result presentation for queries with diverse intents, by selectively presenting query suggestions for leading users to more relevant searc...
Discovering latent structures in spatial data is of critical importance to understanding the user behavior of locationbased services. In this paper, we study the problem of geogra...
Rose Yu, Andrew Gelfand, Suju Rajan, Cyrus Shahabi...