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Serving a Billion Personalized News Feeds

Published:08 February 2016Publication History

ABSTRACT

Feed ranking's goal is to provide perople with over a billion personalized experiences. We strive to provide the most compelling content to each person, personalized to them so that they are most likely to see the content that is most interesting to them.

Similar to a newspaper, putting the right stories above the fold has always been critical to engaging customers and interesting them in the rest of the paper. In feed ranking, we face a similar challenge, but on a grander scale. Each time a person visits, we need to find the best piece of content out of all the available stories and put it at the top of feed where people are most likely to see it. To accomplish this, we do large-scale machine learning to model each person, figure out which friends, pages and topics they care about and pick the stories each particular person is interested in. In addition to the large-scale machine learning problems we work on, another primary area of research is understanding the value we are creating for people and making sure that our objective function is in alignment with what people want.

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    • Published in

      cover image ACM Conferences
      WSDM '16: Proceedings of the Ninth ACM International Conference on Web Search and Data Mining
      February 2016
      746 pages
      ISBN:9781450337168
      DOI:10.1145/2835776

      Copyright © 2016 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: 8 February 2016

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      Acceptance Rates

      WSDM '16 Paper Acceptance Rate67of368submissions,18%Overall Acceptance Rate498of2,863submissions,17%

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