طراحی سیستم توصیه‌گر شخصی‌سازی‌شده برمبنای آنالیز احساسات در رسانه‌های اجتماعی(مورد‌مطالعه: سیستم بانکی)

[1] Miles, M.B.& Hubermn, A.M., "Qualitative Data Analysis" – A Source of New Methods, California, Sage,2017.
[2] Bahrinizadeh, M., Esmailpour, M., Kaboutari, J. "Evaluating and Ranking the Quality Components of E-Services Affecting Customer Satisfaction and Intent", Journal of Busines Intelligence Management Studies, vol. 22, 2017, pp. 49-74.
[3] Cornelis C., Lu J., Guo X., and Zhang G"One-and-only item recommendation with fuzzy logic techniques", Information sciences, j.ins.2007.07.001, vol. doi:10.1016, 2007.
[4] Li Y., Lu L., and Xuefeng L, "A hybrid collaborative filtering method for multiple-interests and multiplecontent recommendation in E-Commerce", Expert systems with applications, vol. 28, 2005, pp. 67-77.
[5] Marrese-Taylor, E., J. D. Velásquez and F. Bravo-Marquez, "A novel deterministic approach for aspectbased opinion mining in tourism products reviews", Expert Systems with Applications 41(17), 2014, 7764-7775.
[6] Tang, Huifeng; Tan, Songbo; Cheng, Xueqi (2009). "A survey on sentiment detection of reviews" (PDF). Expert Systems with Applications. 36 (7): 10760–10773.
[7] Pang, Bo; Lee, Lillian (2008). "4.1.2 Subjectivity Detection and Opinion Identification". Opinion Mining and Sentiment Analysis. Now Publishers Inc.
Yi, J., Nasukawa, T., Bunescu, R., Niblack, W.: Sentiment analyzer: Extracting sentiments [8] about a given topic using natural language processing techniques. In: Third IEEE International Conference on Data Mining (ICDM). IEEE (2003)
[9] Soleimani-Roozbahani F., Rajabzadeh Ghatari A., Radfar R "Knowledge discovery from a more than a decade studies on healthcare Big Data systems: a scientometrics study", Journal of Big Data. doi: https://doi.org/10.1186/s40537-018-0167-y, vol. 6, 2018, pages.8
[10] Kangas, S. "Collaborative filtering and recommendation systems. in: VTT information technology". Espoo: VTT, 2002.
[11] Kim, Y. S., Yum, B. J., Song, J. & Kim, S. M., "Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites", Expert Systems with Applications. 28(1), 2005, 381-393.
[12] Martín-Guerrero, J. D. & Lisboa, P. J. & Soria-Olivas, E. & Palomares, A. & Balaguer, E., "An approach based on the Adaptive Resonance Theory for analyzing the viability of recommender systems in a citizen Web portal", Expert Systems with Applications, 33(3), 2007, 743-753.
[13] Xiaoming YANG Peng TIAN Zhen ZHANG" A Comparative Study on Several National Customer Satisfaction Indices (CSI)" Aetna School of Management,Shanghai Jiao Tong University, Shanghai, P.R.China, 2019 ,p2
[14] Kompan, M. & Bieliková, M., "Content-based news recommendation", International Conference on Electronic commerce and web technologies (EC-Web 2010), University of Deusto, Bilbao, 30 August - 3 September 2010.
[15] Yin, D. & Hong, L. & Davison, B. D, "Structural link analysis and prediction in microblogs", Proceedings of the 20th ACM international conference on Information and knowledge management. Glasgow, 2011, 24-28.
[16] Wang, Z., Sun, L., Zhu, W., Yang, S., Li, H. & Wu, D., "Joint social and content recommendation for user-generated videos in online social network"" IEEE Transactions on Multimedia, 15(3), 2013, 698-709.
[17] Asosheh, A., Bagherpour, S. Yahyapour, N., "Extended acceptance models for recommender system adaption, case of retail and banking service in Iran", WSEAS transactions on business and economics, 5(5), 2008, 189-200.
[18] Borhani Zarandi, S., Niknafas, Mohammadi. "Opinion mining in product review by using emotional vocabulary", 2nd national conference on Industrial & Systems Engineering, Islamic Azad University of Najafabad, 2013.
[19] Karimian, S., Karegar, M, "Quantifying the emotional tendency of Persian-language customer comments on the features of the product on the Web", 1st international conference of web research, Knowledge and Culture University, 2012.
[20] Karimi Alavije, M., Askari, S. & Parasite, S. "Intelligent Online Store: User Behavior Analysis based Recommender System", Journal of Information Technology Management. 7(2), 2015, 385-406.
[21] Sohrabi, B., Raeesi Vanani, I., Zareh Mirkabad, F. (2016). 'Designing a Recommender System for Optimizing and Managing Bank Facilities through the Utilization of Clustering and Classification Algorithms', Modern Research in Decision Making, 1(2), pp. 53-76.
[22] Chen Y.-L. and Cheng L.-C, "A novel collaborative filtering approach for recommending ranked items", Expert systems with applications, vol. 34, 2008, pp. 2396-2405.
[23] Garg, R., Rahman, Z., Qureshi, M., & Qumar, I., Identifying and ranking critical success factors of customer experience in banks: An analytical hierarchy process (AHP) approach. Modeling in Management, 2012, 201-220.
[24] Rouhani S., Zandvakili R., Ansari M, "Design and Implementation of a Tag-oriented Recommender System Based on Deep Neural Networks", Journal of Modern Research in Decision Making. Vol. (3) 2, 2018, 155-174
[25] Liu, B., M. Hu and J. Cheng, "Opinion observer: analyzing and comparing opinions on the Web", Proceedings of the 14th international conference on World Wide Web. Chiba, Japan, ACM, 2005, 342-351.
[26] Zarei A, "Developing a Structural Model for Customer Churn in Governmental Banks: Case of Semnan Governmental Banks", Journal of Management Research in Decision Making. Vol. (21)1, 2015, 151-176.
[27] Jin, J., P. Ji and R. Gu., "Identifying comparative customer requirements from product online reviews for competitor analysis." Engineering Applications of Artificial Intelligence 49, 2016, 61-73.
[28] Chao Ma., Xun Liang., "Online mining in unstructured financial information", An empirical study in bulletin news, 2015.