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Shafaei, Hadis, Razavi, Rouzbeh. (1403). A Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network. , 56(1), 100-122. doi: 10.22059/jac.2024.371362.1210
Hadis Shafaei; Rouzbeh Razavi. "A Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network". , 56, 1, 1403, 100-122. doi: 10.22059/jac.2024.371362.1210
Shafaei, Hadis, Razavi, Rouzbeh. (1403). 'A Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network', , 56(1), pp. 100-122. doi: 10.22059/jac.2024.371362.1210
Shafaei, Hadis, Razavi, Rouzbeh. A Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network. , 1403; 56(1): 100-122. doi: 10.22059/jac.2024.371362.1210

A Recommender System Based on Markov Process Using Web Usage Mining Method and Neural Network

Journal of Algorithms and Computation
مقاله 8، دوره 56، شماره 1، آبان 2024، صفحه 100-122    اصل مقاله (1.51 M)
نوع مقاله: Research Paper
شناسه دیجیتال (DOI): 10.22059/jac.2024.371362.1210
نویسندگان
Hadis Shafaei* 1؛ Rouzbeh Razavi2
1Department of Computer Engineering, Tehran Science and Research Branch, Islamic Azad University, Iran
2Department of Management and Information Systems, Kent State University, New York, United States
چکیده
Web recommender systems provide the most appropriate recommendations by analyzing user’s navigation behavior. This recommender system can be considered in different cases, such as e-commerce, search engines, etc. The aim of the proposed approach in this research is to create users’ profiles and find their common navigation patterns implicitly. The web log file is utilized to analyze browsing history and discover users' navigation models. This analysis is called web usage mining. This research focused on the K-means algorithm as a cluster, and the neural network as a classification algorithm, along with the recommended Markov model. The innovation of this research is to consider a threshold for the proposed Markov model. The main goal of this research is to create a recommender system based on the Markov model and neural network that provides an acceptable suggestion with high accuracy and precision.
کلیدواژه‌ها
Web usage mining؛ k-means algorithm؛ neural network؛ Markov model؛ Recommender systems
آمار
تعداد مشاهده مقاله: 57
تعداد دریافت فایل اصل مقاله: 26


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