Ariel Raviv is a Director of Research at Yahoo and leads the Mail Mining team, with the mission of analyzing and modeling mail data to get new insights and devise novel mail features and applications. He is currently heading research in the field of Inbox Commerce. Responsible for a number of strategic efforts including the extraction, categorization and recommendation of commercial email items, such as receipts, delivery notifications, shipments, deals, etc., in order to guide the world’s consumers every day to savings related to their inbox. Previously, Ariel focused on mail search initiatives such as mail relevance ranking, top results selection and query suggestion. Before joining Yahoo, Ariel was a Research Engineer at IBM Research in Israel, where he worked on recommendation systems, large-scale crawling, machine learning, search and classification tasks, as a member of the Information Retrieval and Social Technologies group. He received his B.Sc and MSc from the Dept. of Computer Science, Technion - Israel Institute of Technology, Haifa, where he conducted research under the supervision of Prof. Shaul Markovitch in the field of Artificial Intelligence and Natural Language Processing. Ariel is passionate about data mining and information retrieval, and has several related patents and various publications in leading conferences including AAAI, WWW, SIGIR, CIKM and RecSys. 

Research Areas: Data Science, Information Retrieval, Machine Learning, Natural Language & Dialogue Understanding, Scalable Systems, User Modeling and Personalization