Evgeniy Gabrilovich, Ph.D.

Yahoo! Research
4301 Great America Parkway, Santa Clara, CA 95054, USA
Email: gabr AT yahoo DASH inc DOT com

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Short bio

Dr. Evgeniy Gabrilovich is a Director of Research and Head of the NLP & IR Group at Yahoo! Research. He authored over 50 publications in top international venues, and filed over 20 patents. Evgeniy is a recipient of the 2010 Karen Sparck Jones Award for his contributions to natural language processing and information retrieval. He served as a Senior PC member / Area Chair / Vice Chair at SIGIR, WWW, WSDM, AAAI, IJCAI, ACL, EMNLP, ICDM, and ICWSM, and served on the program committees of virtually every major conference in the field. He organized a number of workshops and taught multiple tutorials at SIGIR, ACL, IJCAI, AAAI, CIKM, and EC. Evgeniy earned his PhD degree in Computer Science from the Technion - Israel Institute of Technology.

Full curriculum vitae

My CV is available online (PDF).

Research

I am interested in advancing the state of the art in information retrieval and natural language processing at Web scale. I have worked extensively on computational advertising, namely, designing systems that select contextually relevant ads in sponsored search and content match. More recently, I have been working on contextual app recommendation in Web search. I am also interested in using large-scale repositories of collaboratively-generated content (e.g., all of Wikipedia) for improving text processing methods.

Publications

Most of my publications are available online here (sorted by date or by publication type).

My Erdos number is 3

Recent events

Older stuff


Professional affiliations

ACM Association for Computing Machinery

IEEE Institute of Electrical and Electronics Engineers (Senior Member)


Awards and honors


Professional activities


Selected talks


Resources

I used to maintain a (somewhat dated now) collection of resources in a variety of fields related to text, speech and language processing. These include computational linguistics, information retrieval and machine learning. Here you can find pointers to useful Web sites, as well as lists of relevant books, newsgroups and mailing lists, and much more.


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Last updated on November 28, 2011