Agricultural Product Recommendation Model and E-Commerce System based on CFR Algorithm-Reference-Cited by-同舟云学术

Agricultural Product Recommendation Model and E-Commerce System based on CFR Algorithm

Published:2022-05-27 Issue: Volume: Page:
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Container-title:2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI)
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Author:

Chen Tungchun¹,Liang Yushen¹,Huang Tienshou²,Huang Juichan³,Liu Chengju²

Affiliation:

1. National Pingtung University of Science and Technology,Department of Plant Industry,Pingtung,Taiwan,China,91201

2. National Kaohsiung University of Science and Technology,Department of Intelligent Commerce,Kaohsiung,Taiwan,China,80778

3. Yango University,Fuzhou,China,350015

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9832023/9832028/09832175.pdf?arnumber=9832175

Reference12 articles.

1. Agricultural research recommendation algorithm based on consumer preference model of e-commerce;qian;Future Generation Computer Systems,2018

2. A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context

3. Collaborative filtering recommendation algorithm based on difference and correlation of users' rates;jinsong;Computer Science,2018

4. Sigmoid function based web service collaborative filtering recommendation algorithm;mao;The only official website of computer science and exploration,2017

5. Collaborative filtering recommendation algorithm based on spectral clustering and fusion of multiple factors;qian;Computer Application Research,2017

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