Evgeniy Gabrilovich

Evgeniy Gabrilovich is a senior staff research scientist at Google, specializing in Information Retrieval, Machine Learning, and Computational Linguistics, and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE),^[1] and an ACM Distinguished Scientist. In 2010, he received the Karen Spärck Jones Award from the British Computer Society Information Retrieval Specialist Group.^[2]

Career

In 2002, Gabrilovich published a research paper documenting the possibility of an IDN homograph attack, with fellow researcher Alex Gontmakher.

In 2005, Gabrilovich earned his PhD degree in Computer Science from the Technion – Israel Institute of Technology. In his Ph.D. thesis, he developed a methodology for using large scale repositories of world knowledge, such as Wikipedia, as a basis for improvement of text representations.

On November 6, 2007, Gabrilovich was granted a US patent for a new method for personalizing newsfeeds, via an analysis of information novelty and dynamics. Later that year, Gabrilovich also published, together with Prof. Shaul Markovitch, a series of articles suggesting a possible synergy between Wikipedia and Artificial Intelligence.

Publications

• "Computing Semantic Relatedness using Wikipedia-based Explicit Semantic Analysis", The 20th International Joint Conference on Artificial Intelligence (IJCAI), pp. 1606–1611, Evgeniy Gabrilovich and Shaul Markovitch, Hyderabad, India, January 2007
• "Harnessing the Expertise of 70,000 Human Editors: Knowledge-Based Feature Generation for Text Categorization", Evgeniy Gabrilovich and Shaul Markovitch, Journal of Machine Learning Research 8 (Oct), pp. 2297–2345, 2007
• "Robust Classification of Rare Queries Using Web Knowledge", The 30th Annual International ACM SIGIR Conference, Amsterdam, The Netherlands, July 2007
• The Homograph Attack, Evgeniy Gabrilovich and Alex Gontmakher, Communications of the ACM, 45(2):128, February 2002

References