Content based movie recommendation system
- سال انتشار: 1399
- محل انتشار: فصلنامه بین المللی تحقیقات در مهندسی صنایع، دوره: 9، شماره: 4
- کد COI اختصاصی: JR_RIEJ-9-4_005
- زبان مقاله: انگلیسی
- تعداد مشاهده: 352
نویسندگان
Department of MCA ,School of Computer Science &IT ,Jain (deemed-to-be) University ,Bengaluru, India.
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
Department of MCA, School of Computer Science and IT, Jain (deemed-to-be) University, Bengaluru, India.
چکیده
Recommendation based systems can be used for recommending different web page, books, restaurants, tv shows, movies etc. The aim of movie recommendation system is to recommend movies to different users based on their interests. This helps the user to save time browsing the internet looking for movies from the thousand already existing ones. Content-based recommendation system describes the items that may be recommended to the user. Based on a data set, it predicts what movies a user will like considering the attributes present in the previously liked movies. Recommendation systems can recommend movies based on one or a combination of two or more attributes. While designing a movie recommendation system various factors are considered such as the genre of the movie, the director or the actors present in it. In this paper, the recommendation system has been built on cast, keywords, crew, and genres. A single column is created which will be the sum of all the ۴ attributes, and it acts as a dominant factor for this movie recommender system.کلیدواژه ها
Content based recommendation, PyCharm, Python, Machine Learning, web applicationاطلاعات 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.