Movie Recommendation System Employing the User-Based CF in Cloud Computing

Collaborative filtering algorithm is widely used in the recommendation system of e-commerce website, which is based on the analysis of a large number of user’s historical behavior data, so as to explore the user’s interest and recommend the appropriate products to users. In this paper, we focus on how to design a reliable and highly accurate algorithm for movie recommendation. It is worth noting that the algorithm is not limited to film recommendation, but can be applied in many other areas of e-commerce. In this paper, we use Java language to implement a movie recommendation system in Ubuntu system. Benefiting from the MapReduce framework and the recommendation algorithm based on items, the system can handle large data sets. The experimental results show that the system can achieve high efficiency and reliability in large data sets.

[1]  Amund Tveit,et al.  Peer-to-peer based recommendations for mobile commerce , 2001, WMC '01.

[2]  Elth Ogston,et al.  Collaborative filtering using random neighbours in peer-to-peer networks , 2009, CIKM-CNIKM.

[3]  Bradley N. Miller,et al.  Toward a personal recommender system , 2003 .

[4]  Lior Rokach,et al.  Introduction to Recommender Systems Handbook , 2011, Recommender Systems Handbook.

[5]  Qing Li,et al.  A new approach for combining content-based and collaborative filters , 2006, Journal of Intelligent Information Systems.

[6]  Byeong Man Kim,et al.  COLLABORATIVE WEB AGENT BASED ON FRIEND NETWORK , 2008, Appl. Artif. Intell..

[7]  Zhihua Xia,et al.  A Secure and Dynamic Multi-Keyword Ranked Search Scheme over Encrypted Cloud Data , 2016, IEEE Transactions on Parallel and Distributed Systems.

[8]  Cheng-Chi Lee,et al.  A Chaotic Maps Based Key Agreement and User Anonymity Protocol without Using Smart Cards and Symmetric Key En/Decryptions , 2015 .

[9]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[10]  Jian Shen,et al.  A secure identity-based dynamic group data sharing scheme for cloud computing , 2017 .

[11]  Das Amrita,et al.  Mining Association Rules between Sets of Items in Large Databases , 2013 .

[12]  Zhang Shu.  Algorithm for Sparse Problem in Collaborative Filtering , 2007 .

[13]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[14]  Zuhua Jiang,et al.  Distributed recommender for peer-to-peer knowledge sharing , 2010, Inf. Sci..

[15]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[16]  Bradley N. Miller,et al.  PocketLens: Toward a personal recommender system , 2004, TOIS.

[17]  Jian Shen,et al.  A Novel Routing Protocol Providing Good Transmission Reliability in Underwater Sensor Networks , 2015 .