Efficient Machine Learning Algorithms in Hybrid Filtering Based Recommendation System

  • سال انتشار: 1402
  • محل انتشار: فصلنامه مدیریت فناوری اطلاعات، دوره: 15، شماره: 3
  • کد COI اختصاصی: JR_JITM-15-3_009
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 54
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نویسندگان

Ruchika

Assistant Professor, Amity Institute of Information Technology, Amity University Uttar Pradesh, India.

Sharma

Assistant Professor, Amity Institute of Information Technology, Amity University Uttar Pradesh, India.

Hossain

Ph.D., Dean, School of Science and Engineering, Canadian University of Bangladesh, Dhaka, ۱۲۱۲, Bangladesh.

چکیده

The widespread use of E-commerce websites has drastically increased the need for automatic recommendation systems with machine learning. In recent years, many ML-based recommenders and analysers have been built; however, their scope is limited to using a single filtering technique and processing with clustering-based predictions. This paper aims to provide a systematic year-wise survey and evolution of these existing recommenders and analysers in specific deep learning-based hybrid filtering categories using movie datasets. They are compared to others based on their problem analysis, learning factors, data sets, performance, and limitations. Most contributions are found with collaborative filtering using user or item similarity and deep learning for the IMDB datasets. In this direction, this paper introduces a new and efficient Hybrid Filtering based Recommendation System using Deep Learning (HFRS-DL), which includes multiple layers and stages to provide a better solution for generating recommendations.

کلیدواژه ها

Recommender System, Content-Based Filtering, Collaborative filtering, Movie Recommendation, Deep learning

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.