Hello! I have a data set containing user behavior such as which products s/he clicked on , and which products s/he bought from a retail site. I have another data set containing which ads the same user has clicked on, and the ads which were shown to him/her but hasn't been clicked on. The idea is to use the user behavior data set to make recommendations for ads. As I ve understood from Mahout in Action, there isn't a way to introduce user behavior has a feature set . One can only use, userid, productid /ad id , preferences.
Is my understanding correct? Any suggestions would be most welcome! Thanks, Vinutha -- View this message in context: http://lucene.472066.n3.nabble.com/recommend-ads-using-mahout-tp3883496p3883496.html Sent from the Mahout User List mailing list archive at Nabble.com.
