EZE, SONIA IFESINACHI (2026) DEVELOPMENT OF A CONTENT-BASED MOVIE RECOMMENDATION SYSTEM. Other thesis, GODFREY OKOYE UNIVERSITY, ENUGU STATE..
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Development of a content-based, explainable, lightweight movie recommendation system (1) (2).pdf Download (3MB) | Preview |
Abstract
In the modern world of bustling digitalization, entertainment has become a significant factor that helps people to relax, refresh their spirits, and gain the power to continue with their daily routine. Movies are one of the most consumed types of entertainment among others. However, with the emergence of websites that provide opportunities for reviewing films online, there has been a significant amount of information generated. The process of going through vast content manually to find films that fit the preferences of consumers is a cumbersome process. Therefore, movie recommendation systems have become very essential in helping customers to find the movies relevant to them. This particular project seeks to propose a design and implementation of a movie recommendation system that will assist users in finding films and minimize information overload. It is based on content-based filtering, which suggests films according to similarity of their features, such as plot and genre. Movie information is analyzed using text processing and similarity measurement methods to give personalized recommendations. To enhance user trust and system transparency, the system provides explainable recommendations by indicating the factors that influenced each suggested movie. User inputs in context, like individual preferences, are included with the view of enhancing the relevance of the recommendations. The system that is produced is lightweight and simple to comprehend, and can be adopted in educational and small-scale contexts. The experimental assessment shows that the system is effective in terms of improving the quality of recommendations and user experience by offering useful and clear suggestions of movies in a natural and meaningful way.
| Item Type: | Thesis (Other) |
|---|---|
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Nnenna Ayo |
| Date Deposited: | 22 Jul 2026 12:37 |
| Last Modified: | 22 Jul 2026 12:37 |
| URI: | http://eprints.gouni.edu.ng/id/eprint/6015 |
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