NDLI: Improved Collaborative Filtering Algorithm in the Research and Application of Personalized Movie Recommendations

Content Provider	IEEE Xplore Digital Library
Author	Xiao Peng Shao Liangshan Li Xiuran
Copyright Year	2013
Description	Author affiliation: Liaoning Tech. Univ., Huludao, China (Xiao Peng; Shao Liangshan) \|\| Heilongjiang Univ. of Sci. & Technol., Harbin, China (Li Xiuran)
Abstract	With the development of the Internet and e-commerce, recommendation system has been widely used. In this paper, the electronic commerce recommendation system, has a further study and focuses on the collaborative filtering algorithm in the application of personalized movie recommendation system. According to the characteristics of movie recommendation system itself and traditional collaborative filtering algorithm of sparse user ratings matrix,this paper is proposed based on a hybrid user-based and item-based collaborative filtering algorithms, and applied to the MovieLens dataset, achieved good effect.
Starting Page	349
Ending Page	352
File Size	584216
Page Count	4
File Format	PDF
e-ISBN	9781479927920
DOI	10.1109/ISDEA.2013.483
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Filtering Least square support vector machine Films Collaboration Filtering algorithms Motion pictures Prediction algorithms Chinese famous tea Hyperspectral imaging technique Principal component analysis
Content Type	Text
Resource Type	Article

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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	Mr. Siddhartha Mukherjee siddhartha@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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Improved Collaborative Filtering Algorithm in the Research and Application of Personalized Movie Recommendations