Hospital Recommendation using Hybrid Approach
N.SanjeevRam, K.L.N College of Engineering ; R.Vairamuthu ,; M.RajaPrabhu ,; C.Pandian ,
Keyword- Hybrid recommendation, MF, GA, Cold Start
E-commerce websites are very widely used and the data is constantly growing. Recommendation is a technique used to suggest items based on customer’s likes. The problem is that there is a vast amount of data. This remedy is to use a hybrid approach by combining the Matrix Factorization and Genetic algorithm to conclude the best results. This technique is now applied in the field of medicines.
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[1] BamshadMobasher, Honghua Dai, Tao Luo, Yuqing Sun and Jiang Zhu, "Integrating Web Usage and Content Mining for More Effective Personalization, ",2008
[2] A. Naak, H. Hage, and E.A (meur, "A Multi-criteria Collaborative Filtering Approach for Research Paper Recommendation in Papyres," MCETECH 2009, LNBIP 26, pp. 25-39, 2009.
[3] Felice Ferrara, NirmalaPudota, and Carlo Tasso, "A Keyphrase -Based Paper Recommender System" IRCDL 2011, CCIS 249, pp. 14-25, 2011.
[4] A. Nisgav and B. Patt-Shamir, “Finding similar users in social networks,” Theory Comput.Syst., vol. 49, pp. 720–737, 2011.
[5] Bo X., Peng, H., Fan, Y., Ruimin, S., Pipe, CF.: A scalable DHT-based collaborative filtering recommendation system, WWW 2004, May, 17–22, 2004.
[6] D. E. Goldberg and J. H. Holland, "Genetic Algorithms and Machine Learning," Machine Learning, vol. 3, no. 2-3, pp. 95-99, 1988. Robin Burke,” Hybrid Web Recommender Systems”.
Paper ID: GRDCF002053
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 408 - 414
Published in: Conference : International Conference on Innovations in Engineering and Technology (ICIET - 2016)
Page(s): 408 - 414