A novel rule based data mining approach towards movie recommender system

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’...

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Permalink: http://skupni.nsk.hr/Record/nsk.NSK01001088899/Details
Matična publikacija: Journal of information and organizational sciences (Online)
44 (2020), 1 ; str. 157-170
Glavni autori: Sharma, Mugdha (Author), Ahuja, Laxmi, Kumar, Vinay
Vrsta građe: e-članak
Jezik: eng
Predmet:
Online pristup: https://doi.org/10.31341/jios.44.1.7
Journal of information and organizational sciences (Online)
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100 1 |a Sharma, Mugdha  |4 aut  |9 HR-ZaNSK 
245 1 2 |a A novel rule based data mining approach towards movie recommender system  |h [Elektronička građa] /  |c Mugdha Sharma, Laxmi Ahuja, Vinay Kumar. 
300 |b Graf. prikazi. 
504 |a Bibliografija: 19 jed. 
504 |a Abstract. 
520 |a 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. 
653 0 |a Rudarenje podataka  |a Sustav za davanje preporuka  |a Film 
700 1 |a Ahuja, Laxmi  |4 aut  |9 HR-ZaNSK 
700 1 |a Kumar, Vinay  |4 aut  |9 HR-ZaNSK 
773 0 |t Journal of information and organizational sciences (Online)  |x 1846-9418  |g 44 (2020), 1 ; str. 157-170  |w nsk.(HR-ZaNSK)000672813 
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