Comparison between content-based and collaborative filtering recommendation system for movie suggestions

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this current and recent decade, various data and information are actively collected. The problem with increasing data from year to year has made it difficult for people to make the right decision. This is because when data increased, the number of options to choose from will also increase. Therefore, recommendation systems are needed to address this problem and help recommend to users some options that meet their desirable requirements only. In this study, recommendation systems in the field of filming were conducted to provide movie recommendations services for users by using the content-based recommendation system and collaborative filtering recommendation system. For content-based recommendation system, movie recommendations are done by looking for similarities between active user profiles and movie genres. The similarities between active user profiles and movie genres are calculated by using the cosine similarity measure. For collaborative filtering recommendation system, movie recommendations are made by calculating the predicted rating for active users based on the rating values from their nearest neighbours. The nearest neighbours are identified by calculating the cosine similarity measure between the active users and existing users in the data set. Comparisons for these two recommendation systems are performed to identify which system works best in recommending movies to active users. The results show that the collaborative filtering recommendation system is more suitable in recommending movies to active users because this system is more successful in producing desirable recommendations compared to content-based recommendation system.

Original languageEnglish
Title of host publicationProceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018
EditorsShazalina Mat Zin, Nur' Afifah Rusdi, Khairul Anwar Bin Mohamad Khazali, Nooraihan Abdullah, Nurshazneem Roslan, Noor Alia Md Zain, Rasyida Md Saad, Nornadia Mohd Yazid
PublisherAmerican Institute of Physics Inc.
Volume2013
ISBN (Print)9780735417298
DOIs
Publication statusPublished - 2 Oct 2018
EventInternational Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018 - Kuala Lumpur, Malaysia
Duration: 24 Jul 201826 Jul 2018

Other

OtherInternational Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018
CountryMalaysia
CityKuala Lumpur
Period24/7/1826/7/18

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  • Physics and Astronomy(all)

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Mohd Ariff, N., Abu Bakar, M. A., & Rahim, N. F. (2018). Comparison between content-based and collaborative filtering recommendation system for movie suggestions. In S. M. Zin, N. A. Rusdi, K. A. B. M. Khazali, N. Abdullah, N. Roslan, N. A. M. Zain, R. M. Saad, ... N. M. Yazid (Eds.), Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018 (Vol. 2013). [020057] American Institute of Physics Inc.. https://doi.org/10.1063/1.5054256

Comparison between content-based and collaborative filtering recommendation system for movie suggestions. / Mohd Ariff, Noratiqah; Abu Bakar, Mohd Aftar; Rahim, Nurul Farhanah.

Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. ed. / Shazalina Mat Zin; Nur' Afifah Rusdi; Khairul Anwar Bin Mohamad Khazali; Nooraihan Abdullah; Nurshazneem Roslan; Noor Alia Md Zain; Rasyida Md Saad; Nornadia Mohd Yazid. Vol. 2013 American Institute of Physics Inc., 2018. 020057.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohd Ariff, N, Abu Bakar, MA & Rahim, NF 2018, Comparison between content-based and collaborative filtering recommendation system for movie suggestions. in SM Zin, NA Rusdi, KABM Khazali, N Abdullah, N Roslan, NAM Zain, RM Saad & NM Yazid (eds), Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. vol. 2013, 020057, American Institute of Physics Inc., International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018, Kuala Lumpur, Malaysia, 24/7/18. https://doi.org/10.1063/1.5054256
Mohd Ariff N, Abu Bakar MA, Rahim NF. Comparison between content-based and collaborative filtering recommendation system for movie suggestions. In Zin SM, Rusdi NA, Khazali KABM, Abdullah N, Roslan N, Zain NAM, Saad RM, Yazid NM, editors, Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. Vol. 2013. American Institute of Physics Inc. 2018. 020057 https://doi.org/10.1063/1.5054256
Mohd Ariff, Noratiqah ; Abu Bakar, Mohd Aftar ; Rahim, Nurul Farhanah. / Comparison between content-based and collaborative filtering recommendation system for movie suggestions. Proceeding of the International Conference on Mathematics, Engineering and Industrial Applications 2018, ICoMEIA 2018. editor / Shazalina Mat Zin ; Nur' Afifah Rusdi ; Khairul Anwar Bin Mohamad Khazali ; Nooraihan Abdullah ; Nurshazneem Roslan ; Noor Alia Md Zain ; Rasyida Md Saad ; Nornadia Mohd Yazid. Vol. 2013 American Institute of Physics Inc., 2018.
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