References
- Amatriain, X. and J. Basilico, "Netflix Recommendations : Beyond the 5 stars (Part 1)", The Netflix Tech Blog, 2012, Available at https://medium.com/netflix-techblog/netflix-recommendations-beyond-the-5-stars-part-1-55838468f429 (Accessed April 20. 2017).
- Asad, K.I., T. Ahmed, and M.S. Rahman, "Movie Popularity Classification Based on Inherent Movie Attributes Using C4.5, PART and Correlation Coefficient", International Conference on Informatics, Electronics and Vision (ICIEV2012), 2012, 747-752.
- Bao, Z. and H. Xia, "Movie Rating Estimation and Recommendation", CS229 2012 Project, Stanford University.
- Bhave, A., H. Kulkarni., V. Biramane, and P. Kosamkar, "Role of Different Factors in Predicting Movie Success", International Conference On Pervasive Computing, India, 2015, 911-915.
- Chandra, B. and M. Gupta, "Robust Approach For Estimating Probabilisties In Niave Bayesian Classifier for Gene Expression Data", Expert Systems with Applications, Vol.38, No.3, 2011, 1293-1298. https://doi.org/10.1016/j.eswa.2010.06.076
- Chaovalit, P. and L. Zhou, "Movie Review Mining : A Comparison between Supervised and Unsupervised Classification Approaches", Proceeding of the 38th Hawaii International Conference on System Sciences(HICSS 2005), 2005, 1-9.
- Christakou, C. and A. Stafylopatis, "A Hybrid Movie Recommender System Based on Neural Networks", In Proceedings of the 2005, 5th International Conference on Intelligent Systems Design and Applications, 2005, 500-505.
- Fan, L., K.L. Poh, and P. Zhou, "Partition-Conditional ICA for Bayesian Classification of Micro Array Data", Expert Systems with Applications, Vol.37, 2010, 8188-8192. https://doi.org/10.1016/j.eswa.2010.05.068
- Farid, D.M., L. Zhang, M.C. Rahman, M.A. Hossain, and R. Strachan, "Hybrid Decision Tree and Naïve Bayes Classifier for Multi-Class Classification Tasks", Expert Systems with Applications, Vol.41, No.4, 2014, 1937-1946. https://doi.org/10.1016/j.eswa.2013.08.089
- Frank, O., "Using Centrality Modeling in Network Surveys", Social Networks, Vol.24, No.4, 2002, 385-394. https://doi.org/10.1016/S0378-8733(02)00014-X
- Freeman, L.C., "Centrality in Social Networks : Conceptual Clarification", Social Networks, Vol.1, No.3, 1979, 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
- Friedman, N., D. Geiger, and M. Goldszmidt, "Bayesian Network Classifiers", Machine Learning, Vol.29, No.2-3, 1997, 131-163. https://doi.org/10.1023/A:1007465528199
- Ghazanfar, M.A. and A. Prügel-Bennett, "Leveraging Clustering Approaches to Solve the Grey-Sheep Users Problem in Recommender Systems", Expert Systems with Applications, Vol.41, No.7, 2014, 3261-3275. https://doi.org/10.1016/j.eswa.2013.11.010
- Girvan, M. and M.E. Newman, "Community Structure in Social and Biological Networks", Proceedings of the National Academy of Sciences of the United States of America, Vol.99, No.12, 2002, 7821-7826. https://doi.org/10.1073/pnas.122653799
- Guyon, I., J. Weston, S. Barnhill, and V. Vapnik, "Gene Selection for Cancer Classification Using Support Vector Machines", Machine Learning, Vol.46, No.1-3, 2002, 389-422. https://doi.org/10.1023/A:1012487302797
- Huang, W., Y. Nakamori, and S.Y. Wang, "Forecasting Stock Market Movement Direction with Support Vector Machine", Computer and Operations Research, Vol.32, No.10, 2005, 2513-2522. https://doi.org/10.1016/j.cor.2004.03.016
- Hsu, C.C., Y.P. Huang, and K.W. Chang, "Extended Naïve Bayes Classifier for Mixed Data", Expert Systems with Applications, Vol.35, No.3, 2008, 1080-1083. https://doi.org/10.1016/j.eswa.2007.08.031
- Hsu, C.W., C.C. Chang, and C.J. Lin, "Practical Guide to Support Vector Classification", Department of Computer Science National University, Taipei 106, Taiwan, 2010.
- Kabinsingha, S., S. Chindasorn, and C. Chantrapornchai, "A Movie Rating Approach and Application Based on Data Mining", International Journal of Engineering and Innovative Technology (IJEIT), Vol.2, No.1, 2012, 77-83.
- Kim, M. and I. Im, "Resolving the Gray Sheep Problem Using Social Network Analysis (SNA) in Collaborative Filtering (CF) Recommender Systems", Journal of Intelligent Information Systems, Vol.20, No.2, 2014, 137-148. https://doi.org/10.13088/jiis.2014.20.2.137
- Koc, L., T.A. Mazzuchi, and S. Sarkani, "A Network Instruction Detection System Based on Hidden Naïve Bayes Multiclass Classifier", Expert Systems with Applications, Vol.39, No.18, 2012, 13492-13500. https://doi.org/10.1016/j.eswa.2012.07.009
- Kossinets, G. and D.J. Watts, "Origins of Homophily in an Evolving Social Network", American Journal of Sociology, Vol.115, No.2, 2009, 405-500. https://doi.org/10.1086/599247
- Lash, M., S. Fu., S. Wang, and K. Zhao, "Early Prediction of Movie Success-What, Who and When", LNCS 9021, Springer International Publishing Switzerland, 2015, 345-349.
- Lee, H.S. and J.H. Kwon, "Similar User Clustering Based on Movielens Data Set", Advanced Science and Technology Letters, Vol.51, No.8, 2014, 32-35.
- Leem, B. and H. Chun, "An Impact of Online Recommendation Network on Demand", Expert Systems with Applications, Vol.41, No.4, 2014, 1723-1729. https://doi.org/10.1016/j.eswa.2013.08.071
- Lin, A.J., C.L. Hsu, and B.Y. Li, "Improving the Effectiveness of Experiential Decisions by Recommendation Systems", Expert Systems with Applications, Vol.41, No.10, 2014, 4904-4914. https://doi.org/10.1016/j.eswa.2014.01.035
- Ma, L., R. Krishnan, and A.L. Montgomery, "Latent Homophily or Social Influence? An Empirical Analysis of Purchase within a Social Network", Management Science, Vol. 61, No.2, 2015, 454-473. https://doi.org/10.1287/mnsc.2014.1928
- Manek, A.S., R.P. Pallavi, H.V. Bhat, P.D. Shenoy, M.C. Mohan, K.R. Venugopal, and L.M. Patnaik, "SentReP : Sentiment Classification of Movie Reviews Using Efficient Repetitive Pre-Processing", TENCON 2013, IEEE Region 10 Conference, 2013, 348-353.
- Oh, Y.J. and S.H. Chae, "Movie Rating Inference by Construction of Movie Sentiment Sentence using Movie Comments and Rating", Journal of Internet Computing and Services, Vol.16, No.2, 2015, 41-48. https://doi.org/10.7472/jksii.2015.16.2.41
- Park, S.H., S.Y. Huh, W. Oh, and S.P. Han, "A Social Network-Based Inference Model For Validating Customer Profile Data", MIS Quarterly, Vol.36, No.4, 2012, 1217-1237.
- Parvin, H., M. MirnabiBaboli, and H.A. Rokny, "Proposing a Classifier Ensemble Framework based on Classifier Selection", Engineering Application of Artificial Intelligence, Vol.37, 2015, 34-42. https://doi.org/10.1016/j.engappai.2014.08.005
- Santos, E.E., L. Pan, D. Arendt, and M. Pittkin, "An Effective Anytime Anywhere Parallel Approach for Centrality Measurement in Social Network Analysis", IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan, Vol.6, 2006, 4693-4698.
- Symeonidis, P., A. Nanopoulos, and Y. Manopoulos, "Moviexplain : A Recommender System with Explanations", In Proceedings of the 2009 ACM Conference on Recommender Systems, 2009, 317-320.
- Tiwari, A. and A. Prakash, "Improving Classification of J48 Algorithm Using Bagging, Boosting and Blending Ensemble Methods on SONAR Dataset Using Weka", International Journal of Engineering and Technical Research, Vol.2, 2014, 207-209.
- Wu, T., P. Karsmakers, H. Vanhamme, and D.V. Compernolle, "Comparison of Variable Selection Methods and Classifiers for Native Accent Identification", 9th Annual Conference of the International Speech Communication Association, 2008, 305-308.
- Xu, Y., J. Ma, Y. Sun, J. Hao, Y. Sun, and D. Zhao, "Using Social Network Analysis as a Strategy for E-Commerce Recommendation", Pacific Asia Conference on Information Systems (PASIC), India, 2009.
- Zafarani, R., M.A. Abbasi, and H. Liu, Social Media Mining : An Introduction, Cambridge University Press, 2014.