Bandit Algorithms for Recommendation Systems

Re:Bandit Algorithms for Recommendation Systems by noelwelsh on Monday June 02, 2014 @03:07PM (#7835309)

No love for Thompson Sampling?

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Re:Bandit Algorithms for Recommendation Systems by sergeyfeldman on Monday June 02, 2014 @03:08PM (#7835319)

This is blog post 1 out of 3. The second is all about Thompson Sampling, and should be coming out on Friday =)

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Re:Bandit Algorithms for Recommendation Systems by splitforce on Monday June 02, 2014 @11:19PM (#7837967)

Nice post, Sergey. We've been using Thompson Sampling to deal with delayed feedback, as we're dealing with data coming from mobile applications which are not always connected. The results have been pretty good, here's a breakdown of how it works if you're interested: https://splitforce.com/resources/auto-optimization/

Have you thought about how to deal with changes in environmental factors over relatively longer periods of time? For example, seasonality or changes in popular taste.

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