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Also, fog-based IoT is a distributed platform that provides reliable access to virtualized resources based on various technologies such as high-performance computing and service-oriented design. A fog recommender system is an intelligent engine that suggests suitable services for fog users with less answer time and more accuracy. With the rapid growth of files and information sharing, fog recommender systems\u2019 importance is also increased. Besides, the resource management problem appears challenging in fog-based IoT because of the fog\u2019s unpredictable and highly variable environment. However, many current methods suffer from the low accuracy of fog recommendations. Due to this problem\u2019s Non-deterministic Polynomial-time (NP)-hard nature, a new approach is presented for resource recommendation in the fog-based IoT using a hybrid optimization algorithm. To simulate the suggested method, the CloudSim simulation environment is used. The experimental results show that the accuracy is optimized by about 1\u20138% compared with the Cooperative Filtering method utilizing Smoothing and Fusing and Artificial Bee Colony algorithm. The outcomes of the present paper are notable for scholars, and they supply insights into subsequent study domains in this field.<\/jats:p>","DOI":"10.1093\/comjnl\/bxab189","type":"journal-article","created":{"date-parts":[[2021,11,9]],"date-time":"2021-11-09T20:14:55Z","timestamp":1636488895000},"page":"692-710","source":"Crossref","is-referenced-by-count":9,"title":["A New Approach for Resource Recommendation in the Fog-Based IoT Using a Hybrid Algorithm"],"prefix":"10.1093","volume":"66","author":[{"given":"Zhiwang","family":"Xu","sequence":"first","affiliation":[{"name":"Shaoxing University Yuanpei College , Shaoxing, Zhejiang 312000, China"},{"name":"Institute of Electron Device & Application , , Hangzhou, Zhejiang 310018, China"},{"name":"Hangzhou Dianzi University , , Hangzhou, Zhejiang 310018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Huibin","family":"Qin","sequence":"additional","affiliation":[{"name":"Institute of Electron Device & Application , , Hangzhou, Zhejiang 310018, China"},{"name":"Hangzhou Dianzi University , , Hangzhou, Zhejiang 310018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shengying","family":"Yang","sequence":"additional","affiliation":[{"name":"Institute of Electron Device & Application , , Hangzhou, Zhejiang 310018, China"},{"name":"Hangzhou Dianzi University , , Hangzhou, Zhejiang 310018, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6901-9736","authenticated-orcid":false,"given":"Seyedeh Maryam","family":"Arefzadeh","sequence":"additional","affiliation":[{"name":"Department of Control Engineering , Bushehr Branch, , Bushehr 7515895496, Iran"},{"name":"Islamic Azad University , Bushehr Branch, , Bushehr 7515895496, Iran"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"286","published-online":{"date-parts":[[2021,12,8]]},"reference":[{"key":"2023031708554018400_","doi-asserted-by":"publisher","first-page":"9531","DOI":"10.1109\/JIOT.2020.3007130","article-title":"Deep-learning-enabled security issues in the internet of things","volume":"8","author":"Lv","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"2023031708554018400_","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3064357","article-title":"LBS meets blockchain: An efficient method with security preserving trust in SAGIN","author":"Li","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"2023031708554018400_","first-page":"599","article-title":"An efficient algorithm to extract control flow-based features for IoT malware detection","volume":"64","author":"Phu","year":"2020","journal-title":"Comput. 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