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:: Volume 7, Issue 13 (9-2020) ::
عصر برق 2020, 7(13): 27-34 Back to browse issues page
A Review of the Challenges and Methods of Filtering in Recommender Systems
Abstract:   (411 Views)
With the increasing importance of the Internet in the lives of people, websites have become a very important tool in e-commerce for daily transactions. The exponential growth of information on websites has confused Internet users to find suitable information in the line of their tastes. Recommender systems, using software techniques, try to offer suggestions tailored to their userschr('39') preferences. These systems, which have become an efficient tool in the field of Computer Science, save time and money for Internet users. In this review article definitions, challenges and types of information filtering methods in recommender systems are discussed. The advantages and disadvantages of each method will be discussed and the final conclusions will be drawn.
Keywords: Recommender Systems, Content-based Filtering, Collaborative Filtering, Hybrid Filtering
Full-Text [PDF 11709 kb]   (108 Downloads)    
Type of Study: Scientific-extension | Subject: Special
Received: 2020/11/14 | Accepted: 2020/09/20 | Published: 2020/09/20
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A Review of the Challenges and Methods of Filtering in Recommender Systems. عصر برق. 2020; 7 (13) :27-34
URL: http://kiaeee.ir/article-1-262-en.html

Volume 7, Issue 13 (9-2020) Back to browse issues page
نشریه عصر برق - انجمن مهندسین برق و الکترونیک ایران - شاخه خراسان Khorasan Iranian Association of Electrical and Electronics Engineers (kiaeee)
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