Review on Recommender System and Architecture
محورهای موضوعی :
Majlesi Journal of Telecommunication Devices
Mehrdad MollaNoroozi
1
(Department of Engineering, Isfahan Branch, Islamic Azad University, Iran)
تاریخ دریافت : 1401/03/16
تاریخ پذیرش : 1401/05/19
تاریخ انتشار : 1402/06/10
کلید واژه:
recommender system,
Evolutionary computing,
Electronic Commerce,
intelligent system,
چکیده مقاله :
Today, global information societies are increasingly producing a mass of information, which makes it difficult to access relevant and useful information at the moment. In the meantime, there are many services and products that need to be filtered and presented based on the priorities of users. Recommender systems emerged as a tool to deal with the mass of data to respond to the existing need. These systems collect user information or information that helps users to provide a list of items explicitly or implicitly to suggest to users. With the flourishing of electronic commerce, the use of recommender systems in various aspects of online business has revolutionized electronic commerce
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