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Home/ Questions/Q 8696773
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Editorial Team
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Editorial Team
Asked: June 13, 20262026-06-13T01:20:59+00:00 2026-06-13T01:20:59+00:00

Are there any well known algorithms for figuring out the Recommended Items that websites

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Are there any well known algorithms for figuring out the “Recommended Items” that websites often use? On a new project, I’m currently tracking things they’ve viewed, purchased, searched on, favourited, etc. I am curious what the best way would be to utilize all of this information to intelligently give meaningful recommendations.

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  1. Editorial Team
    Editorial Team
    2026-06-13T01:21:00+00:00Added an answer on June 13, 2026 at 1:21 am

    I recommend you two books:

    1. Programming Collective Intelligence

      Toby Segaran (ISBN: 978-0-596-52932-1)
      http://shop.oreilly.com/product/9780596529321.do

       In this book, “Chapter 2. Making Recommendations” covers:

      • Collaborative Filtering
      • Collecting Preferences
      • Finding Similar Users
      • Recommending Items
        etc..

    2. Collective Intelligence in Action

      Satnam Alag (ISBN: 1933988312)
      http://www.manning.com/alag/

      In this book, “Capter 12. Building a recommendation engine” covers:

      • Recommendation engine fundamentals
      • Content-based analysis
      • Collaborative filtering

    I hope it helps you.

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