Recommender systems using cloud-based computer networks to predict service quality
- سال انتشار: 1403
- محل انتشار: مجله آنالیز غیر خطی و کاربردها، دوره: 15، شماره: 10
- کد COI اختصاصی: JR_IJNAA-15-10_028
- زبان مقاله: انگلیسی
- تعداد مشاهده: 193
نویسندگان
Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran
Department of Computer Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics and Computer Science, Shahed University, Tehran, Iran
چکیده
In recommender systems, the user items are offered tailored to users’ requirements. Because there are multiple cloud services, recommending a suitable service for users' requirements is of paramount importance. Cloud recommender systems are qualified depending on the extent to which they accurately predict service quality values. Because no service was chosen by the user beforehand, and no record of the user's selections is available, it became challenging to recommend it to users. To promote the recommender system quality, to accurately predict service quality values by offering various procedures, including collaborative filtering, matrix factorization, and clustering. This review article first mentions the general problem and states the need for research, followed by examining and expressing the kinds of recommender systems along with their problems and challenges. In the present review, various approaches, platforms, and solutions are reviewed to articulate the pros and cons of individual approaches, simulation models, and evaluation metrics employed in the reviewed techniques. The measured values in various approaches of the papers are compared with one another in several diagrams. This review paper reviews and introduces the entire datasets applied in the studies.کلیدواژه ها
QoS prediction, Recommendation system, collaborative filtering, Matrix factorization, web services in the cloudاطلاعات 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.