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Evgeniy Gabrilovich : ウィキペディア英語版 | 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),〔(【引用サイトリンク】title=Homepage of Evgeniy Gabrilovich )〕 and an ACM Distinguished Scientist. In 2010, he received the Karen Spärck Jones Award from the British Computer Society Information Retrieval Specialist Group.〔(【引用サイトリンク】title=Evgeniy Gabrilovich Honored with Prestigious Karen Spärck Jones Award )〕 == 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.
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