Evgeniy Gabrilovich
Evgeniy Gabrilovich
Research Director, Facebook Reality Labs
Verificeret mail på meta.com - Startside
Citeret af
Citeret af
Computing semantic relatedness using Wikipedia-based explicit semantic analysis.
E Gabrilovich, S Markovitch
IJcAI 7, 1606-1611, 2007
Placing search in context: The concept revisited
L Finkelstein, E Gabrilovich, Y Matias, E Rivlin, Z Solan, G Wolfman, ...
Proceedings of the 10th international conference on World Wide Web, 406-414, 2001
Knowledge vault: A web-scale approach to probabilistic knowledge fusion
X Dong, E Gabrilovich, G Heitz, W Horn, N Lao, K Murphy, T Strohmann, ...
Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014
A review of relational machine learning for knowledge graphs
M Nickel, K Murphy, V Tresp, E Gabrilovich
Proceedings of the IEEE 104 (1), 11-33, 2015
Overcoming the brittleness bottleneck using Wikipedia: Enhancing text categorization with encyclopedic knowledge
E Gabrilovich, S Markovitch
AAAI 6, 1301-1306, 2006
A word at a time: computing word relatedness using temporal semantic analysis
K Radinsky, E Agichtein, E Gabrilovich, S Markovitch
Proceedings of the 20th international conference on World wide web, 337-346, 2011
Wikipedia-based semantic interpretation for natural language processing
E Gabrilovich, S Markovitch
Journal of Artificial Intelligence Research 34, 443-498, 2009
Knowledge base completion via search-based question answering
R West, E Gabrilovich, K Murphy, S Sun, R Gupta, D Lin
Proceedings of the 23rd international conference on World wide web, 515-526, 2014
Concept-based information retrieval using explicit semantic analysis
O Egozi, S Markovitch, E Gabrilovich
ACM Transactions on Information Systems (TOIS) 29 (2), 1-34, 2011
Feature generation for text categorization using world knowledge
E Gabrilovich, S Markovitch
IJCAI 5, 1048-1053, 2005
From data fusion to knowledge fusion
XL Dong, E Gabrilovich, G Heitz, W Horn, K Murphy, S Sun, W Zhang
arXiv preprint arXiv:1503.00302, 2015
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
E Gabrilovich, S Dumais, E Horvitz
Proceedings of the 13th international conference on World Wide Web, 482-490, 2004
Large-scale learning of word relatedness with constraints
G Halawi, G Dror, E Gabrilovich, Y Koren
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Knowledge-based trust: Estimating the trustworthiness of web sources
XL Dong, E Gabrilovich, K Murphy, V Dang, W Horn, C Lugaresi, S Sun, ...
arXiv preprint arXiv:1502.03519, 2015
Text categorization with many redundant features: Using aggressive feature selection to make SVMs competitive with C4. 5
E Gabrilovich, S Markovitch
Proceedings of the twenty-first international conference on Machine learning, 41, 2004
Robust classification of rare queries using web knowledge
AZ Broder, M Fontoura, E Gabrilovich, A Joshi, V Josifovski, T Zhang
Proceedings of the 30th annual international ACM SIGIR conference on …, 2007
Global maps of travel time to healthcare facilities
DJ Weiss, A Nelson, CA Vargas-Ruiz, K Gligorić, S Bavadekar, ...
Nature medicine 26 (12), 1835-1838, 2020
Anatomy of the long tail: ordinary people with extraordinary tastes
S Goel, A Broder, E Gabrilovich, B Pang
Proceedings of the third ACM international conference on Web search and data …, 2010
Google COVID-19 community mobility reports: anonymization process description (version 1.1)
A Aktay, S Bavadekar, G Cossoul, J Davis, D Desfontaines, A Fabrikant, ...
arXiv preprint arXiv:2004.04145, 2020
Principles and methods for personalizing newsfeeds via an analysis of information novelty and dynamics
ST Dumais, EJ Horvitz, E Gabrilovich
US Patent 7,293,019, 2007
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