Recommendation technology is an important method for information filtering in e-commerce applications and can effectively reduce information overload in Internet. It narrows down the choice of products from a large number of product offerings. With increase in the number of e-commerce users and products, the original recommendation algorithms and systems face many challenges namely in modeling user’s interests more accurately, providing more diverse recommendation modes, and supporting large-scale expansion of data. To address these challenges, and meet the present demands of e-commerce applications, a personalized hybrid recommendation system, which can support massive dataset, has been designed and implemented on Hadoop.