A Well-Built Hybrid Recommender System for Agricultural Products in Benue State of Nigeria

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ISSN Print: 1945-3116
ISSN Online: 1945-3124
www.scirp.org/journal/jsea
E-mail: jsea@scirp.org

"A Well-Built Hybrid Recommender System for Agricultural Products in Benue State of Nigeria"
written by Agaji Iorshase, Onyeke Idoko Charles,
published by Journal of Software Engineering and Applications, Vol.8 No.11, 2015

has been cited by the following article(s):

[1]	Machine Learning based Recommender Systems for Crop Selection: A Systematic Literature Review
	2022

[2]	Agricultural Crop Recommendations based on Productivity and Season
	2021

[3]	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
	IEEE Access, 2021

[4]	Content‐Based Recommender Systems
	2020

[5]	Development of a Model Recommender System for Agriculture Using Apriori Algorithm
	Cognitive Informatics and Soft Computing, 2019

[6]	Development of Innovative Procedures for Information Technology Articulated Agriculture
	2017

[1]	Enhancing Agricultural Productivity with Data-Driven Crop Recommendations 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), 2023 DOI:10.1109/ICAISS58487.2023.10250657

[2]	Agricultural Crop Recommendations based on Productivity and Season 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), 2021 DOI:10.1109/ICACCS51430.2021.9441736

[3]	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3127201

[4]	Recommender System with Machine Learning and Artificial Intelligence 2020 DOI:10.1002/9781119711582.ch9

[5]	Recommender System with Machine Learning and Artificial Intelligence 2020 DOI:10.1002/9781119711582.ch9

[6]	Cognitive Informatics and Soft Computing Advances in Intelligent Systems and Computing, 2019 DOI:10.1007/978-981-13-0617-4_15

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