References
- X. Su and T.M. Khoshgoftaar, "A Survey of Collaborative Filtering Techniques," Advances in Artificial Intelligence, 2009. DOI:10.1155/2009/421425
- M. Jalili, S. Ahmadian, M. Izadi, P. Moradi, and M. Salehi, "Evaluating Collaborative Filtering Recommender Algorithms: A Survey," IEEE Access, Vol. 6, pp. 74003-74024, 2018. DOI: 10.1109/ACCESS.2018.2883742
- J. Gupta and J. Gadge, "Performance Analysis of Recommendation System based on Collaborative Filtering and Demographics," International Conference on Communication Information & Computing Technology, pp. 1-6, 2015. DOI: 10.1109/ICCICT.2015.7045675
- M. Aamir and M. Bhusry, "Recommendation System: State of the Art Approach," International Journal Computer Applications, Vol. 120, No. 12, pp. 25-32, 2015. DOI: 10.5120/21281-4200
- C. F. Tsai and C. Hung, "Cluster Ensembles in Collaborative Filtering Recommendation," Applied Soft Computing, Vol. 12, pp. 1417-1425, 2012. DOI: 10.1016/j.asoc.2011.11.016
- M. Nilashi, D. Jannach, O. Ibrahim, and N. Ithnin, "Clusteringand Regression-based Multi-criteria Collaborative Filtering with Incremental Updates," Information Sciences, Vol. 293, pp. 235-250, 2015. DOI: 10.1016/j.ins.2014.09.012
- H. Ye, "A Personalized Collaborative Filtering Recommendation using Association Rules Mining and Self-organizing Map," Journal of Software, Vol. 6, No. 4, 2011. DOI: 10.4304/jsw.6.4.732-739
- C. L. Liao and S. J. Lee, "A Clustering based Approach to Improving the Efficiency of Collaborative Filtering Recommendation," Electronic Commerce Research and Applications, Vol. 18, pp. 1-9, 2016. DOI: 10.1016/j.elerap.2016.05.001
- H. Koohi and K. Kiani, "User based Collaborative Filtering using Fuzzy C-means," Measurement, Vol. 91, pp. 134-139, 2016. DOI: 10.1016/j.measurement.2016.05.058
- H. Shivhare, A. Gupta, and S. Sharma, "Recommender System using Fuzzy C-means Clustering and Genetic Algorithm based Weighted Similarity Measure," Proceedings of International Conference on Computer, Communication and Control, pp. 1-8, 2015. DOI: 10.1109/IC4.2015.7375707
- C. Birtolo and D. Ronca, "Advances in Clustering Collaborative Filtering by means of Fuzzy C-means and Trust," Expert Systems with Applications, Vol. 40, No. 17, pp. 6997-7009, 2013. DOI: 10.1016/j.eswa.2013.06.022
- S. Fremal and F. Lecron, "Weighting Strategies for a Recommender System using Item Clustering based on Genres," Expert Systems With Applications, Vol. 77, No. 1, pp. 105-113, 2017. DOI: 10.1016/j.eswa.2017.01.031
- M. K. Najafabadi, M. N.Mahrin, S. Chuprat, and H. M. Sarkan, "Improving the Accuracy of Collaborative Filtering Recommendations using Clustering and Association Rules Mining on Implicit Data," Computers in Human Behavior, Vol. 67, pp. 113-128, 2017. DOI: 10.1016/j.chb.2016.11.010
- M. Al-Shamri and K. Bharadwaj, "Fuzzy-genetic Approach to Recommender Systems based on a Novel Hybrid User Model," Expert Systems with Applications, Vol. 35, No. 3, pp. 1386-1399, 2008. DOI: 10.1016/j.eswa.2007.08.016
- M. Lee, P. Choi, and Y. Woo, "A Hybrid Recommender System Combining Collaborative Filtering with Neural Network," Lecture Notes on Computer Sciences, Vol. 2347, pp. 531-534, 2002. DOI: 10.1007/3-540-47952-x_77
- L. Zhang, T. Qin, and P. Teng, "An Improved Collaborative Filtering Algorithm based on User Interest," Journal of Software, Vol. 9, No. 4, 2014. DOI: 10.4304/jsw.9.4.999-1006
- B. Zhu, R. Hurtado, J. Bobadilla, and F. Ortega, "An Efficient Recommender System Method based on the Numerical Relevances and the Non-numerical Structures of the Ratings," IEEE Access, Vol. 6, pp. 49935-49954, 2018. DOI: 10.1109/ACCESS.2018.2868464
- S. Lee, "Improving Performance of Jaccard Coefficient for Collaborative Filtering," Journal of The Korea Society of Computer and Information, Vol. 21, No. 11, pp. 121-126, 2016. DOI: 10.9708/jksci.2016.21.11.121