I am currently working on system that generated product recommendations like those on Amazon : "People who bought this also bought this.."
This is how I plan to do it: Process the data using Mahout and generate recommendations(data is stored in MySQL),currently item based only. Now,I want to apply clustering algorithm to make cluster of users and then apply the association rules subjective to each cluster My Question is: Will mahout provide me enough flexibility to tweak with the existing algorithms according to my needs.If yes,how? Is there any better alternative like R? Please Help! -- View this message in context: http://lucene.472066.n3.nabble.com/Mahout-s-Flexibility-for-generating-recommendations-tp3280446p3280446.html Sent from the Lucene - General mailing list archive at Nabble.com.
