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Izvorni znanstveni članak
https://doi.org/10.31341/jios.44.1.7

A Novel Rule based Data Mining Approach towards Movie Recommender System

Mugdha Sharma ; Amity School of Engineering &Technology, Amity University, Noida, India
Laxmi Ahuja ; Amity Institute of Information Technology, Amity University, Noida, India
Vinay Kumar ; Vivekananda Institute of Professional Studies, Guru Gobind Singh Indraprastha University, Delhi, India

Puni tekst: engleski, pdf (897 KB) str. 157-170 preuzimanja: 33* citiraj
APA 6th Edition
Sharma, M., Ahuja, L. i Kumar, V. (2020). A Novel Rule based Data Mining Approach towards Movie Recommender System. Journal of Information and Organizational Sciences, 44 (1), 157-170. https://doi.org/10.31341/jios.44.1.7
MLA 8th Edition
Sharma, Mugdha, et al. "A Novel Rule based Data Mining Approach towards Movie Recommender System." Journal of Information and Organizational Sciences, vol. 44, br. 1, 2020, str. 157-170. https://doi.org/10.31341/jios.44.1.7. Citirano 08.08.2020.
Chicago 17th Edition
Sharma, Mugdha, Laxmi Ahuja i Vinay Kumar. "A Novel Rule based Data Mining Approach towards Movie Recommender System." Journal of Information and Organizational Sciences 44, br. 1 (2020): 157-170. https://doi.org/10.31341/jios.44.1.7
Harvard
Sharma, M., Ahuja, L., i Kumar, V. (2020). 'A Novel Rule based Data Mining Approach towards Movie Recommender System', Journal of Information and Organizational Sciences, 44(1), str. 157-170. https://doi.org/10.31341/jios.44.1.7
Vancouver
Sharma M, Ahuja L, Kumar V. A Novel Rule based Data Mining Approach towards Movie Recommender System. Journal of Information and Organizational Sciences [Internet]. 2020 [pristupljeno 08.08.2020.];44(1):157-170. https://doi.org/10.31341/jios.44.1.7
IEEE
M. Sharma, L. Ahuja i V. Kumar, "A Novel Rule based Data Mining Approach towards Movie Recommender System", Journal of Information and Organizational Sciences, vol.44, br. 1, str. 157-170, 2020. [Online]. https://doi.org/10.31341/jios.44.1.7

Sažetak
The proposed research work is an effort to provide accurate movie recommendations to a group of users with the help of a rule-based content-based group recommender system. The whole approach is categorized into 2 phases. In phase 1, a rule- based approach has been proposed which considers the users’ viewing history to provide the Rule Base for every individual user. In phase 2, a novel group recommendation system has been proposed which considers the ratings of the movies as per the rule base generated in phase 1. Phase 2 also considers the weightage of every individual member of the group to provide the accurate movie recommendation to that particular group of users. The results of experimental setup also establish the fact that the proposed system provides more accurate outcomes in terms of precision and recall over other rule learning algorithms such as C4.5.

Ključne riječi
Data Mining; Movie Recommender System; Group Preferences; MovieLens; Classification Rules; Rule Base

Hrčak ID: 239793

URI
https://hrcak.srce.hr/239793

Posjeta: 59 *