Implementing user based collaborative filtering to build a generic product recommender using Apache mahout

Due to steady growth of e-commerce market, advancement in data mining and data intelligence technologies, recommender systems are becoming more powerful and accurate. Not only it has the prospects to help the customers as discussed in the previous paper, Collaborative Filtering Based Simple Restaurant Recommender, the businesses can also drive the sales of their products and generate more revenue. This paper is an extension to Collaborative Filtering Based Simple Restaurant Recommender aimed at giving procedures and steps to build a generic product recommender based on user based collaborative filtering, by using open source platform, Apache mahout.