A hybrid recommendation algorithm–based intelligent business recommendation system

Article Properties
Cite
Yang, Fan. “A Hybrid Recommendation algorithm–based Intelligent Business Recommendation System”. Journal of Discrete Mathematical Sciences and Cryptography, vol. 21, no. 6, 2018, pp. 1317-22, https://doi.org/10.1080/09720529.2018.1526408.
Yang, F. (2018). A hybrid recommendation algorithm–based intelligent business recommendation system. Journal of Discrete Mathematical Sciences and Cryptography, 21(6), 1317-1322. https://doi.org/10.1080/09720529.2018.1526408
Yang F. A hybrid recommendation algorithm–based intelligent business recommendation system. Journal of Discrete Mathematical Sciences and Cryptography. 2018;21(6):1317-22.
Journal Category
Technology
Technology (General)
Industrial engineering
Management engineering
Applied mathematics
Quantitative methods
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2007
A strategy-oriented operation module for recommender systems in E-commerce Computers & Operations Research
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Manufactures: Production management. Operations management
  • Technology: Technology (General): Industrial engineering. Management engineering
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
17 2012
E-satisfaction and post-purchase behaviour of online travel product shopping Journal of Statistics and Management Systems
  • Science: Mathematics: Probabilities. Mathematical statistics
10 2013
A study on the behavioral intention of implementing RFID System — Taiwan logistics as an example Journal of Information and Optimization Sciences
  • Bibliography. Library science. Information resources
2 2010
Citations
Title Journal Journal Categories Citations Publication Date
Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2024
E-Commerce Commodity Recommendation System Based on Social Perception and Mobile Computing Mobile Networks and Applications
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Technology (General): Industrial engineering. Management engineering: Information technology
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2023
Computer simulation in industrial product application based on intelligent recommendation algorithm International Journal of System Assurance Engineering and Management
  • Technology: Engineering (General). Civil engineering (General)
2023
Personalized Recommendation Model Based on Improved GRU Network in Big Data Environment

Journal of Electrical and Computer Engineering
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Science (General): Cybernetics: Information theory
2023
Machine learning approach for phishing website detection : A literature survey Journal of Discrete Mathematical Sciences and Cryptography
  • Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods
1 2022
Citations Analysis
The category Science: Mathematics: Instruments and machines: Electronic computers. Computer science 5 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Video popularity prediction based on fuzzy inference system and was published in 2020. The most recent citation comes from a 2024 study titled Exploring the Landscape of Hybrid Recommendation Systems in E-Commerce: A Systematic Literature Review. This article reached its peak citation in 2022, with 7 citations. It has been cited in 12 different journals, 25% of which are open access. Among related journals, the Journal of Discrete Mathematical Sciences and Cryptography cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year