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Large-Scale Real-Time Product Recommendation at Criteo

Published:16 September 2015Publication History

ABSTRACT

Performance retargeting consists of displaying online advertisements that are personalized according to each user's browsing history. We show close to three billion personalized ads a day, each of them optimized to generate the best post-click sales performance for our clients. Within this time frame, Criteo's recommender system must choose a dozen relevant products from billions of candidates in a few milliseconds. Our main challenge is to balance the amount of data we use with the processing speed and low-latency requirements of a web-scale environment.

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    • Published in

      cover image ACM Conferences
      RecSys '15: Proceedings of the 9th ACM Conference on Recommender Systems
      September 2015
      414 pages
      ISBN:9781450336925
      DOI:10.1145/2792838

      Copyright © 2015 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 September 2015

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      Acceptance Rates

      RecSys '15 Paper Acceptance Rate28of131submissions,21%Overall Acceptance Rate254of1,295submissions,20%

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