SANTOSO, LIEM, DANIEL ADITYA (2022) COMPARING THE COLLABORATIVE FILTERING ALGORITHM WITH NAIVE BAYES ON THE FILM RECOMMENDATION SYSTEM. Other thesis, Universitas Katholik Soegijapranata Semarang.
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Abstract
The many movies that are circulating and the many platforms that provide movie streaming platforms raise a question, namely what algorithm is the most suitable for use in providing movie recommendations. Of course, each of these streaming platforms uses different algorithms and factors. In this study the author tries to compare two algorithms in providing movie recommendations based on the rating factor. The algorithm used is Collaborative Filtering with Cosine Similarity and also nave Bayes. Both authors tested using a dataset from movieLens.org as much as 10,000 data. And in the results, Collaborative Filtering got better results through MSE and RMSE testing than nave Bayes. But the prediction score of each movie in each algorithm has a similar and the same score because it only uses the rating factor.
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works > 004 Data processing & computer science |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | mr AM. Pudja Adjie Sudoso |
| Date Deposited: | 23 Mar 2022 04:07 |
| Last Modified: | 23 Mar 2022 04:07 |
| URI: | http://repository.unika.ac.id/id/eprint/28275 |
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