NDLI: A movie rating prediction system of user propensity analysis based on collaborative filtering and fuzzy system

Content Provider	IEEE Xplore Digital Library
Author	Taeryong Jeon Jaewoo Cho Soojin Lee Gyeongdong Baek Sungshin Kim
Copyright Year	2009
Description	Author affiliation: School of Electrical Engineering, Pusan National University, Busan, Korea (Taeryong Jeon; Jaewoo Cho; Soojin Lee; Gyeongdong Baek; Sungshin Kim)
Abstract	Recently, an intelligent system is developed for proper service which isn't passive system. Recent system can answer and recommend to user before user's request. This intelligent system is used for personalized recommendation system and representative techniques are content-based and collaborative filtering. In this study, we propose a prediction system which is based on the techniques of recommendation system using a collaborative filtering and fuzzy system to solve the collaborative filtering problems. In order to verify the prediction system, we used the user's rating data about movies. We predicted the user's rating using this data. The accuracy of this prediction system is determined by computing the predicted RMSE (Root mean square error) of the system against the actual rating about the each movie. And predicted RMSE is compared with the existing system. Thus, this prediction system can be applied to base technology of recommendation system and also recommendation of multimedia such as music and books.
Starting Page	507
Ending Page	511
File Size	629910
Page Count	5
File Format	PDF
ISBN	9781424435968
ISSN	10987584
DOI	10.1109/FUZZY.2009.5277415
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-08-20
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion pictures Collaboration Fuzzy systems Information filtering Information filters Probes Information analysis Training data Intelligent systems Books
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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