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Big Data Analysis Interview with Ricardo Baeza-Yates VP of Research for Europe and Latin America at Yahoo!

Ricardo Baeza-Yates

Check out new Big Data analysis interview with Ricardo Baeza-Yates, VP of Research for Europe and Latin America at Yahoo!

 

 

The main suggested themes to invest in by Ricardo are:

a) what he called Hadoop++ the ability to handle graphs with trillions of edges as MapReduce doesn't scale well for graphs; and b) stream data mining - the ability to handle streams of large volumes of data. Handling lots of data in a 'reasonable' amount of time is key for Ricardo - for example, being able to carry out offline computations within a week rather than a year.

Additional point of interest of Ricardo was personalisation and its relation to privacy. Rather than personalising based on user data we should personalise around user tasks. More details in the interview!

Ricardo Baeza-Yates is VP of Research for Europe and Latin America, leading the Yahoo! Research labs at Barcelona, Spain and Santiago, Chile, and also supervising the lab in Haifa, Israel. Until 2005 he was the director of the Center for Web Research at the Department of Computer Science of the Engineering School  of the University of Chile; and ICREA Professor and founder of the Web Research Group at the Dept. of Information and Communication Technologies of Universitat Pompeu Fabra in Barcelona, Spain [1].

Big Data Analysis Interview with Peter Mika, Senior Scientist at Yahoo! Research Labs in Barcelona

New Big Data analysis interview with Peter Mika is out:

Within the standard interface

As an MP3 audio file

As a small video-only window

As a large video window with ability to jump to a specific segment

The main theme for Peter was on using a machine learning, information extraction and semantic web technologies to reduce Big Data into more manageable chunks and how combined with new programming paradigms such as Hadoop we could now accomplish more. Background knowledge (in a simple form) enables Yahoo1 to understand that "Brad Pitt Fight Club" is a search for a movie with Brad Pitt playing the role of disambiguation.

Peter Mika is a researcher working on the topic of semantic search at Yahoo Research in Barcelona, Spain. Peter also serves as a Data Architect for Yahoo Search, advising the team on issues related to knowledge representation. Peter is a frequent speaker at events, a regular contributor to the Semantic Web Gang podcast series and a blogger at tripletalk.wordpress.com [1].

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by Dr. Radut