W. L. C. / MIT Press / Google / Guilford Press / Microsoft / Amdahl / /
Country
Jordan / United States / / /
Facility
University of Texas / /
IndustryTerm
search relevance / Web corpus / web users / Parallel algorithms / machine learning algorithms / recent Internet Explorer release / handy tool / distributed computing / recommender systems / different algorithms / data analysis algorithm / Web-scale dyadic data / Efficient geometric algorithms / real-world applications / social media / Web lifetime data / data processing / biological networks / Web lifetime dyadic data / search engines / Internet monetization / Web scale / parallel unmixing algorithm / Web search / real-world Web / Web era / rst computing / random algorithm / computing / social network / Web data / Web-scale / Web-Scale Dyadic Data Analysis / Web-scale data / Web dyadic data / /
Organization
MIT / IDF / CS Department / American Society for Information Science / International World Wide Web Conference Committee / Texas A & M University / University of Texas / /
Person
Lee / Xiaolong Li / Deborah A. Kashy / Tao Li / Emre Kıcıman / M. W. Berry / V / Chris J.C. Burges / Paul Hsu / Susan Domais / Ethan Tu / Morgan Kaufmann / David A. Kenny / Lin Xiao / Chris Ding / Xiaoxin Yin / Seung / / /
Position
Parallel and vector implementations General / representative / /
Distributed Nonnegative Matrix Factorization for Web-Scale Dyadic Data Analysis on MapReduce Chao Liu Hung-chih Yang