Facebook Places - Search, Ranking and Recommendations

Srinivas Narayanan (Facebook)
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Searching for places nearby and discovering interesting new places are
important aspects of the Facebook Places product. In this talk, we will
describe our system for querying and ranking nearby places in search
results. Our system combines user-generated places with places from other
sources to provide high-quality results. We will also describe the system
that provides personalized place recommendations.

Photo of Srinivas Narayanan

Srinivas Narayanan


Srinivas Narayanan leads Applied Research at Facebook AI. The team does research and development in a wide range of areas such as PyTorch, Computer Vision, Natural Language, Speech and Personalization to push the state of the art in AI to advance Facebook products. He has led several major efforts at Facebook including creating the Interest Graph, launching the Location product, and leading engineering for Photos where he also helped start Facebook’s efforts in Computer Vision and Deep Learning. Prior to Facebook, has was founding member of two startups and was part of the database systems research group at IBM Almaden Research Center.

  • Nokia
  • OnStar
  • Esri
  • AT&T Interactive
  • Google
  • Rackspace Hosting
  • AND Automotive Navigation Data
  • C3 Technologies
  • Ditto
  • Facebook
  • Factual
  • MapQuest
  • Microsoft Corporation

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