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Chen, P.Y., S. Dhanasobhon, and M.D. Smith, "An Analysis of the Differential Impact of Reviews and Reviewers at Amazon.com," Proceedings of International Conference on Information Systems(ICIS), 94, 2007.
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3 |
B. K. Jeon, H. C. Ahn, "A Collaborative Filtering System Combined with User's Review Mining : Application to the Recommendation of Smartphone Apps," Journal of Intelligence and Information Systems, vol.21, no.2, pp.1-18, 2015.
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B. K. Jeon, "A Study on the Combination of Collaborative Filtering and User's Review Mining," Kookmin University Graduate School of Business IT, Master thesis, 2016.02.
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5 |
Zhang, Z., D. Zhang, and J. Lai, "urCF: User Review Enhanced Collaborative Filtering," Proceedings of the 20th Americas Conference on Information Systems, 2014.
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6 |
S. J. Lee, H. J. Kim, "Keyword Extraction from News Corpus using Modified TF-IDF," The Journal of Society for e-Business Studies, vol.14, no.4, pp.59-73, 2009.
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7 |
Choeh, J.Y., S.L. Lee and Y.B. Cho, "Applying Rating Score's Reliability of Customers to Enhance Prediction Accuracy in Recommender System," Journal of Digital Contents Society, vol.13, no.7, pp.379-385, 2013.
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Sarwar, B., Karypis, G., Konstan, J. and Riedl, J.,"Item-based collaborative filtering recommendation algorithms," Proceedings of the 10th International Conference on World Wide Web, pp.285-295, 2001.
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9 |
Jeong, E.H, and Lee, B.K., "A Design of Customized Market Analysis Scheme Using SVM and Collaboration Filtering Scheme," The Journal of Korea Institute of Information, Electronics, and Communication Technology, vol.9, no.6, pp.609-616, 2016.
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10 |
Amazon movies review dataset, https://snap.stanford.edu/data/web-Movies.html
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