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From "alessandro.benedetti" <abenede...@apache.org>
Subject Re: How to train the model using user clicks when use ltr(learning to rank) module?
Date Thu, 12 Jan 2017 10:40:05 GMT
Hi Jeffery,
Just noticed your comment to my blog, I will try to respond asap.
Related your doubt, I second Diego's readme.

If you have other user signals as well ( apart from clicks) it may be
interesting to use them as well.
Users signals such as : "Add To Favorites" , "Add to the basket" , "Share" ,
"Buy", could be indicator of better relevancy.
If you are able to collect "shown but not clicked" should help you as well (
in this case as an indicator of low relevancy).
Of course this will have implication on the volume of signals collected.

I may state the obvious, but if you can, try to collect as much signals type
as possible.

Cheers




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