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), and an ACM Distinguished Scientist. In 2010, he received the Karen Spärck Jones Award from the British Computer Society Information Retrieval Specialist Group.

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.

• “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