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Research Article

An Analysis on Different Techniques Used in Recommender System of E-commerce

K Anuradha1 S Chandrashekhar2 D Tavade3
123Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Guntur, Andhra Pradesh, India.

Published Online: March-April 2021

Pages: 08-10

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References

1. Hu Jinming, “Application and research of collaborative filtering ine-commerce recommendation system”,IEEE,2010,978-1-4244-5540-9.
2. HEWelhong,CAOYl,“Ane-commercer commendation system based on content-based filtering”, Wuhan Unviversity Journal of Natural
Sciences,ArticleID-1007-1202(2006)05-1091-06,Vol.11No.5
3. S.Shruthi, Dr.J.Viji Gripsy, “An effective product recommendation system for e-commerce website using hybrid recommendation
system”,IJCSC,Volume8-Issue2,March2017-Sept2017pp.81-88
4. Ms. Shakila Shaikh, Dr. Sheetal Rathi, “Recommendation system in E-commerce websites:A Graph Based Approached”,IEEE 7th
International Advance Computing Conference,2017.
5. Ruixin Cao, Shouxiang Zhao, “A study on personalized recommender system in e-commerce based on Ant Colony”,Proceedings of AIAI
2011.
6. Mojtaba Salehi, Abdolhossein Fathi and Fardin Abdali-Mohammadi,“ANTSREC: A semantic recommender system based on ant
colony meta-heuristic in electronic commerce”,Inernational Journal of Advanced Science and Technology,July2013,Vol.56.
7. Kunal Shah,Akshay kumar Slunke,Saurabh Dongare,Kisandas Antala,“Recommender systems:An overview of different approaches to
recommendations”,ICIIECS,2017,978-1-5090-3294-5/17

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