Seminario CIWS "Distributed Machine Learning in Yahoo Sponsored Search"

Ricardo Baeza-Yates, académico DCC, Chief Research Scientist at Yahoo! Labs
5 Enero, 2016 - 16:00
Sala Auditorio 315, Edificio Poniente, DCC.
Centro de Investigación de la Web Semántica


Sponsored search consists in retrieving the "best'' advertisements that match a given search query. The term "best'' in this context has to take into account several dimensions, such as relevance, revenue and post-click quality. These dimensions, sadly, are usually poorly correlated. Therefore, retrieving an ad in response to a query is a problem that is much more difficult than retrieving a web search result where relevance is a dominant dimension. In this talk we overview how machine learning is used at Yahoo to improve our sponsored search. The term "distributed'' in this talk has a double meaning. First, we show how distributed representations help to solve the problem of retrieving ads in response to a query by coupling relevance filtering and retrieving ads taking in account the content and the context involved with click prediction. Second, we overview a distributed architecture that allows to compute these distributed representations much faster. This talk includes the work of many people at Yahoo Labs and Yahoo Platforms.


About the speaker:
Ricardo Baeza-Yates is VP of Research and Chief Research Scientist at Yahoo Labs based in Sunnyvale, California, since August 2014.  Before he founded and lead from 2006 to 2015 the labs in Barcelona and Santiago de Chile. Between 2008 and 2012 he also oversaw the Haifa lab. He is also part time Professor at the Dept. of Information and Communication Technologies of the Universitat Pompeu Fabra, in Barcelona, Spain. During 2005 he was an ICREA research professor at the same university. Until 2004 he was Professor and before founder and Director of the Center for Web Research at the Dept. of Computing Science of the University of Chile (in leave of absence until today). He obtained a Ph.D. in CS from the University of Waterloo, Canada, in 1989. Before he obtained two masters (M.Sc. CS & M.Eng. EE) and the electronics engineer degree from the University of Chile in Santiago. He is co-author of the best-seller Modern Information Retrieval textbook, published in 1999 by Addison-Wesley with a second enlarged edition in 2011, that won the ASIST 2012 Book of the Year award. He is also co-author of the 2nd edition of the Handbook of Algorithms and Data Structures, Addison-Wesley, 1991; and co-editor of Information Retrieval: Algorithms and Data Structures, Prentice-Hall, 1992, among more than 500 other publications. From 2002 to 2004 he was elected to the board of governors of the IEEE Computer Society and in 2012 he was elected for the ACM Council. He has received the Organization of American States award for young researchers in exact sciences (1993), the Graham Medal for innovation in computing given by the University of Waterloo to distinguished ex-alumni (2007), the CLEI Latin American distinction for contributions to CS in the region (2009), and the National Award of the Chilean Association of Engineers (2010), among other distinctions. In 2003 he was the first computer scientist to be elected to the Chilean Academy of Sciences and since 2010 is a founding member of the Chilean Academy of Engineering. In 2009 he was named ACM Fellow and in 2011 IEEE Fellow.