Tag Archives: Recommender Systems

Applications of Machine Learning INDT Webinar

Posted on November 13, 2020 by Hayim Makabee

This week I had the pleasure to be invited by the INDT (National Institute for Technological Development) in Brazil to participate in a webinar about Artificial Intelligence (in Portuguese). In the slides and video below, I present several applications of … Continue reading →

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Applications of Machine Learning

Posted on October 14, 2020 by Hayim Makabee

Last month I had the pleasure to be invited by the Brazil-Israel (BRIL) Chamber of Commerce to participate in a webinar about Artificial Intelligence (in Portuguese). In the slides and video below, I present several applications of Machine Learning and … Continue reading →

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Watch-It-Next: A Contextual TV Recommendation System

Posted on September 16, 2015 by Hayim Makabee

Last week my colleague Raz Nissim presented our joint work at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), which was held at Porto, Portugal. This was part of a Yahoo … Continue reading →

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Contextual Recommendations in Multi-User Devices

Posted on July 23, 2014 by Hayim Makabee

My last project at Yahoo! Labs was focused on Recommender Systems for TV shows. In the presentation below, Ronny Lempel (who was my manager at this project) discusses the challenges of producing personalized recommendations in multi-user devices. This is joint … Continue reading →

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On Bubbles and the Value of Data

Posted on June 1, 2011 by Hayim Makabee

In a recent article at Newsweek, Daniel Lyons claims that: “Data, by itself, is worthless. Facebook is betting it can create software algorithms to extract value from that data—essentially to perform a kind of techno-alchemy and turn zillions of meaningless … Continue reading →

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