Review on Recommender System and Architecture

Majlesi Journal of Telecommunication Devices

دوره 11، شماره 3، آذر 2022، صفحه 177-185   

نوع مقاله: Original Article

شناسه دیجیتال (DOI): 10.30486/mjtd.2023.1976726.1010

نویسنده

Mehrdad MollaNoroozi^*

Department of Engineering, Isfahan Branch, Islamic Azad University, Iran

چکیده

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

کلیدواژه‌ها

recommender system؛ evolutionary computing؛ electronic commerce؛ intelligent System

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