Following links have some information you are looking for. Also "Mahout in Action" might be ideal for you.
http://ssc.io/deploying-a-massively-scalable-recommender-system-with-apache-mahout/ http://recommendersystem.quora.com/ Regards, Anand -----Original Message----- From: naveenkumar nookala [mailto:[email protected]] Sent: Tuesday, August 06, 2013 5:05 PM To: [email protected] Subject: Need Help - Mahout Hi all, I am new to Hadoop & Mahout.My Skill set is Python and working as an ETL Developer in DatawareHousing. I have just installed Multinode Hadoop Cluster and Mahout. I have practiced with sample Movie ratings example using Mahout. I am developing a movie site that contains movie related informations based on artists and their movie news. I want to implement a recommendation engine based on Mahout and Hadoop. My recommendations should be based on the following conditions: 1. Based on the content of the movie article 2. Based on the Hero in the article 3. Based on the Director in the article 4. Based on the Heroine in the article 5. Based on the Music director in the article 6. Based on the user history as his likes, comments There will be separate weightage for hero, heroine, director & Music director I have just some basic knowledge about Mahout and its Algorithms like Clustering, Classifications and recommendations. Could anyone please recommend me which algorithm is suitable for my requirement and some insights to proceed further.
