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The Pinterest Approach to Machine Learning

Published:19 July 2018Publication History

ABSTRACT

Pinterest's mission is to help you discover and do what you love -- whether that's finding the perfect recipe for your family dinner or pulling together an outfit. To achieve this level of personalization, and with 200M+ active users and billions of recommendations every day, we live on machine learning. From object detection and classification to ads auction model tuning, Machine learning is used in numerous components of our system. With limited resources as a medium-sized company, but fast growing demand from passionate users, we have to balance cutting edge technology advancement with practical system implementation that can be put in place within a short amount of time. In this talk, I will review Pinterest's approach of a careful balance between simplicity and functionality, and how we reached our current stage of system design.

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  • Published in

    cover image ACM Other conferences
    KDD '18: Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
    July 2018
    2925 pages
    ISBN:9781450355520
    DOI:10.1145/3219819

    Copyright © 2018 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.

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 19 July 2018

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    • invited-talk

    Acceptance Rates

    KDD '18 Paper Acceptance Rate107of983submissions,11%Overall Acceptance Rate1,133of8,635submissions,13%
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