Large Scale Recommender Systems

As we enter the era of Big Data, the modern Recommender System faces greatly increased data volume and complexities. Previous computational models and experience on small data may not hold today, thus, how to build an efficient and robust system has become an important issue for many practitioners. Meanwhile, there is an increasing gap between academia research of recommendation systems focusing on complex models, and industry practice focusing on solving problems at large scale using relatively simple techniques.

  • Tao Ye, Pandora
  • Qiang Yan, Taobao
  • Danny Bickson, GraphLab Inc.
Workshop Date

Oct 10, 9.00 – 17.30


Balboa Room

Web site

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