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 -- View this message in context: http://lucene.472066.n3.nabble.com/How-to-train-the-model-using-user-clicks-when-use-ltr-learning-to-rank-module-tp4312462p4313688.html Sent from the Solr - User mailing list archive at Nabble.com.
