Learning Resource Recommendation Method based on Fuzzy Logic

Learning Resource Recommendation Method based on Fuzzy Logic

Bibliographic Details
Main Authors: Li Guangquan, Xia Jiali, Mei Siyu
Format: Article
Language:English
Published: Eastern Macedonia and Thrace Institute of Technology 2018-08-01
Series:Journal of Engineering Science and Technology Review
Online Access:http://jestr.org/downloads/Volume11Issue4/fulltext191142018.pdf
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spelling doaj-8a0fcf22fb2c42bba08ca8fa0bb6251c2020-11-24T21:04:00ZengEastern Macedonia and Thrace Institute of TechnologyJournal of Engineering Science and Technology Review1791-23771791-23772018-08-0111414615310.25103/jestr.114.19Learning Resource Recommendation Method based on Fuzzy LogicLi Guangquan0Xia Jiali1Mei Siyu2School of Information Management, Jiangxi Unive rsity of Finance and Economics, Nanchang 3300 32 , China; School of Computer and Information Engineering, Jiangxi Agriculture University, Nanchang 330045 , China School of Information Management, Jiangxi Unive rsity of Finance and Economics, Nanchang 330032 , ChinaUCD school of computer science, University College Dublin, Belfield, Dublin 4, Irelandhttp://jestr.org/downloads/Volume11Issue4/fulltext191142018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Li Guangquan
Xia Jiali
Mei Siyu
spellingShingle Li Guangquan
Xia Jiali
Mei Siyu
Learning Resource Recommendation Method based on Fuzzy Logic
Journal of Engineering Science and Technology Review
author_facet Li Guangquan
Xia Jiali
Mei Siyu
author_sort Li Guangquan
title Learning Resource Recommendation Method based on Fuzzy Logic
title_short Learning Resource Recommendation Method based on Fuzzy Logic
title_full Learning Resource Recommendation Method based on Fuzzy Logic
title_fullStr Learning Resource Recommendation Method based on Fuzzy Logic
title_full_unstemmed Learning Resource Recommendation Method based on Fuzzy Logic
title_sort learning resource recommendation method based on fuzzy logic
publisher Eastern Macedonia and Thrace Institute of Technology
series Journal of Engineering Science and Technology Review
issn 1791-2377
1791-2377
publishDate 2018-08-01
url http://jestr.org/downloads/Volume11Issue4/fulltext191142018.pdf
work_keys_str_mv AT liguangquan learningresourcerecommendationmethodbasedonfuzzylogic
AT xiajiali learningresourcerecommendationmethodbasedonfuzzylogic
AT meisiyu learningresourcerecommendationmethodbasedonfuzzylogic
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