Collaborative Filtering (CF) is the most popular method for recommender systems. The principal idea of CF is that users might be interested in items that are favorited by similar ...
Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Ya...
Social media is increasingly being used to access and disseminate information on sociopolitical issues like gun rights and general elections. The popularity and openness of social...
With rapidly growing amount of data available on the web, it becomes increasingly likely to obtain data from different perspectives for multi-view learning. Some successive examp...
Bokai Cao, Hucheng Zhou, Guoqiang Li, Philip S. Yu
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...
Good websites should be easy to navigate via hyperlinks, yet maintaining a high-quality link structure is difficult. Identifying pairs of pages that should be linked may be hard ...
Ashwin Paranjape, Robert West 0001, Leila Zia, Jur...