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.
Are there any well known algorithms for figuring out the Recommended Items that websites
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I recommend you two books:
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:
etc..
Collective Intelligence in Action
Satnam Alag (ISBN: 1933988312)
http://www.manning.com/alag/
In this book, “Capter 12. Building a recommendation engine” covers:
I hope it helps you.