Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review

With the ever-growing volume of online information, recommender system has been an effective strategy to overcome such information overload. Recommender systems are widely used in many web applications, such as e-commerce, news, agriculture and other fields. Agricultural informatization is an import...

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Autores principales:	Caixia Song, Haoyu Dong
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Recommendation algorithm recommender system application model agricultural information collaborative filtering hybrid recommendation Electrical engineering. Electronics. Nuclear engineering TK1-9971
Acceso en línea:	https://doaj.org/article/f6c091e662644ebd9ad78d2fec4ff932
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id	oai:doaj.org-article:f6c091e662644ebd9ad78d2fec4ff932
record_format	dspace
spelling	oai:doaj.org-article:f6c091e662644ebd9ad78d2fec4ff9322021-11-24T00:01:15ZApplication of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review2169-353610.1109/ACCESS.2021.3127201https://doaj.org/article/f6c091e662644ebd9ad78d2fec4ff9322021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9611248/https://doaj.org/toc/2169-3536With the ever-growing volume of online information, recommender system has been an effective strategy to overcome such information overload. Recommender systems are widely used in many web applications, such as e-commerce, news, agriculture and other fields. Agricultural informatization is an important driving force for the development of agricultural modernization. With the further improvement of agricultural informatization infrastructure construction, the use of modern information technology to achieve personalized agricultural information resource recommendation services and provide users with timely and effective information has become an effective solution. This article aims to provide a comprehensive review of recent research efforts on application of agricultural information based on intelligent recommender systems. Firstly, the method of content analysis used in this article to sort out the papers is introduced. Secondly, the background concepts of recommender systems and the key technologies are presented. Thirdly, the applications of recommender systems/technologies for agricultural information are described in detail. Finally, a summary and outlook on the application of recommender systems for agricultural information are provided.Caixia SongHaoyu DongIEEEarticleRecommendation algorithmrecommender systemapplication modelagricultural informationcollaborative filteringhybrid recommendationElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 153616-153632 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Recommendation algorithm recommender system application model agricultural information collaborative filtering hybrid recommendation Electrical engineering. Electronics. Nuclear engineering TK1-9971
spellingShingle	Recommendation algorithm recommender system application model agricultural information collaborative filtering hybrid recommendation Electrical engineering. Electronics. Nuclear engineering TK1-9971 Caixia Song Haoyu Dong Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
description	With the ever-growing volume of online information, recommender system has been an effective strategy to overcome such information overload. Recommender systems are widely used in many web applications, such as e-commerce, news, agriculture and other fields. Agricultural informatization is an important driving force for the development of agricultural modernization. With the further improvement of agricultural informatization infrastructure construction, the use of modern information technology to achieve personalized agricultural information resource recommendation services and provide users with timely and effective information has become an effective solution. This article aims to provide a comprehensive review of recent research efforts on application of agricultural information based on intelligent recommender systems. Firstly, the method of content analysis used in this article to sort out the papers is introduced. Secondly, the background concepts of recommender systems and the key technologies are presented. Thirdly, the applications of recommender systems/technologies for agricultural information are described in detail. Finally, a summary and outlook on the application of recommender systems for agricultural information are provided.
format	article
author	Caixia Song Haoyu Dong
author_facet	Caixia Song Haoyu Dong
author_sort	Caixia Song
title	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
title_short	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
title_full	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
title_fullStr	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
title_full_unstemmed	Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review
title_sort	application of intelligent recommendation for agricultural information: a systematic literature review
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/f6c091e662644ebd9ad78d2fec4ff932
work_keys_str_mv	AT caixiasong applicationofintelligentrecommendationforagriculturalinformationasystematicliteraturereview AT haoyudong applicationofintelligentrecommendationforagriculturalinformationasystematicliteraturereview
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Application of Intelligent Recommendation for Agricultural Information: A Systematic Literature Review

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