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Articles

A novel hybrid approach towards movie recommender systems

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References

  • Dou, Y., Yang, H., & Deng, X. (2016). A Survey of Collaborative Filtering Algorithms for Social Recommender Systems. 12th International Conference on Semantics, Knowledge and Grids (SKG).
  • Lops, P., Jannach, D., Musto, C. et al. Trends in Content based Recommendation Systems User Model User-Adap Inter (2019) 29: 239
  • Alharthi, H., & Inkpen, D. (2015). Content-Based Recommender System Enriched with Wordnet Synsets. Lecture Notes in Computer Science, 295–308
  • Burke, R.: Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction 12(4), 331–370 (2002 )
  • Su, X., Khoshgoftaar, T.M.: A Survey of Collaborative Filtering Techniques. Advances in Artificial Intelligence (4), 2 (2009)
  • Lekakos, G., & Caravelas, P. (2006). A hybrid approach for movie recommendation. Multimedia Tools and Applications, 36(1-2), 55–70
  • Ignat’ev, V.Y., Lemtyuzhnikova, D.V., Rul’, D.I., et al. J. Comput. Syst. Sci. Int. (2018) 57: 921
  • Yuan-hong, Wu & Xiao-qiu, Tan. (2010). A real-time recommender system based on hybrid collaborative filtering. ICCSE 2010 - 5th In- ternational Conference on Computer Science and Education, Final Program and Book of Abstracts.
  • H.W. Ma, G.W. Zhang, P, Li, “Survey of Collaborative Filtering Algorithms,” Journal of Chinese Computer Systems, 2009, 30(7), pp. 1282–1288
  • J.T. Du, “A Study on Recommendation Model Based on Rough Set,” Hangzhou Dianzi University, 2009
  • B. Sarwar, G. Karypis, J. Konstan. 2000. Analysis of Recommendation Algorithms for E-commerce. Proceedings of ACM Conference on Electronic Commerce, pp. 158-167
  • M.G. Vozalis, K.G. Margaritis, “Applying SVD on Item-Based Filtering,” Proceedings of 5th International Conference on Intelligent Systems Design and Applications, 2005, pp. 464-469
  • Sharifi, Z., Rezghi, M., & Nasiri, M. (2013). New algorithm for recommender systems based on singular value decomposition method. ICCKE 2013
  • Ariyoshi, Y., & Kamahara, J. (2010). A Hybrid Recommendation Method with Double SVD Reduction. Lecture Notes in Computer Science, 365–373
  • https://movielens.org/ for the 100k dataset used in the experiment
  • Debaditya Barman, Ritam Sarkar, Anil Tudu & Nirmalya Chowdhury (2020). Personalized query recommendation system: A genetic algorithm approach, Journal of Interdisciplinary Mathematics, 23:2, 523–535.
  • Poonam Singh, Sachin Ahuja, Vanita Jaitly & Shaily Jain (2020). A framework to alleviate common problems from recommender system : A case study for technical course recommendation, Journal of Discrete Mathematical Sciences and Cryptography, 23:2, 451-460.
  • A. Lesfari (2018). Normally generated line bundle and laurent series solutions of nonlinear differential equations, Journal of Dynamical Systems and Geometric Theories, 16:2, 151-171.
  • Shakil Ahmad, Md Sohail, Abu Waris, Isam Mohammed Ab-del-Magid, Abdurahiman Pattukuthu & Muhammed Shakir Azad (2019). Evaluating journal quality: A review of journal citation indicators and ranking in library and information science core journals, COLLNET Journal of Scientometrics and Information Management, 13:2, 345-363.

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