RecSys 2014 Keynote by Jeff Dean: Large Scale Machine Learning for Predictive Tasks, Pt. 1
Because of the Youtube Live Streaming platform outage on Wednesday, this speaker was interrupted during the streaming session. The missing portion appears in this video.
https://www.youtube.com/watch?v=Zuwf6WXgffQ
(approx. 32 min. of additional content)
The ACM Recommender System conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender system research.
RecSys 2014, the eighth conference in this series, was held in Silicon Valley. It brought together researchers and practitioners from academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2014 program featured keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium.
Published papers went through a rigorous full peer review process. The conference proceedings, which are available both on a USB drive and via the ACM Digital Library, are expected to be widely read and cited. ACM RecSys 2014 took place at the Crowne Plaza hotel in Foster City, Silicon Valley, California from Oct 6-10, 2014.
To accommodate the numerous researchers who could not register for this year’s technical conference and to possibly mitigate local traffic, the Tuesday, Wednesday and Thursday program was streamed real-time on the official ACM RecSys YouTube Channel.
Video services by: Rosa Media Productions http://rosamediaproductions.com/
Because of the Youtube Live Streaming platform outage on Wednesday, this speaker was interrupted during the streaming session. The missing portion appears in this video.
https://www.youtube.com/watch?v=Zuwf6WXgffQ
(approx. 32 min. of additional content)
The ACM Recommender System conference (RecSys) is the premier international forum for the presentation of new research results, systems and techniques in the broad field of recommender systems. Recommendation is a particular form of information filtering, that exploits past behaviors and user similarities to generate a list of information items that is personally tailored to an end-user’s preferences. As RecSys brings together the main international research groups working on recommender systems, along with many of the world’s leading e-commerce companies, it has become the most important annual conference for the presentation and discussion of recommender system research.
RecSys 2014, the eighth conference in this series, was held in Silicon Valley. It brought together researchers and practitioners from academia and industry to present their latest results and identify new trends and challenges in providing recommendation components in a range of innovative application contexts. In addition to the main technical track, RecSys 2014 program featured keynote and invited talks, tutorials covering state-of-the-art in this domain, a workshop program, an industrial track and a doctoral symposium.
Published papers went through a rigorous full peer review process. The conference proceedings, which are available both on a USB drive and via the ACM Digital Library, are expected to be widely read and cited. ACM RecSys 2014 took place at the Crowne Plaza hotel in Foster City, Silicon Valley, California from Oct 6-10, 2014.
To accommodate the numerous researchers who could not register for this year’s technical conference and to possibly mitigate local traffic, the Tuesday, Wednesday and Thursday program was streamed real-time on the official ACM RecSys YouTube Channel.
Video services by: Rosa Media Productions http://rosamediaproductions.com/
