Minneapolis / New York / Washington / DC / Berlin / London / Arlington / /
Company
AUAI Press / Amazon / Cambridge University Press / Neural Networks / IMDB / Online Learning / Meaningful Internet Systems / /
Country
United States / United Kingdom / /
Event
Product Recall / Product Issues / /
Facility
library LibFM / University of Minnesota / /
IndustryTerm
inner product / dot product / data mining / recommender systems / e-commerce website / cold-start recommender systems / product operator / search queries / cold-start recommendation algorithms / Online algorithms / scalar product / information filtering technology / /
Organization
Cambridge University / National Science Foundation / IDF / Department of Computer Science / IEEE Computer Society / University of Minnesota / /
Person
Manuel de Buenaga Rodr / Christos Faloutsos / Jimeng Sun / Joseph A. Konstan / Wei Chu / Chung Chen / William T. Freeman / Santosh Kabbur / Liang Zhang / Daniel Billsus / Georg Lausen / Christoph Freudenthaler / George Karypis / Zeno Gantner / Bee-Chung Chen / Asmaa Elbadrawy / Cai-Nicolas Ziegler / Wei Wu / Pablo Gerv / George Karypis† Abstract Recommending / Seung-Taek Park / Michael J. Pazzani / Esteban / Sean M. McNee / Deepak Agarwal / Xia Ning / Manuel J. Ma / Dacheng Tao / Lars Schmidt-Thieme / Mohit Sharma / Lucas Drumond / Joshua B. Tenenbaum / /
Position
vp r˜u / vp u∈U i∈R+ / vp / editor / hybrid user model for news story classification / vp 4.4 Performance optimizations In / bilinear model for matching queries and documents / author / update vp / Major / vp ence scores / /
Product
Regression / validation / LibFM / /
ProgrammingLanguage
DC / /
ProvinceOrState
Minnesota / Virginia / New York / /
Technology
machine learning / information filtering technology / proposed algorithm / item cold-start recommendation algorithms / data mining / /
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation∗ Mohit Sharma †, Jiayu Zhou ‡, Junling Hu‡ , George Karypis† Abstract Recommending new items to existing users has rem