Setiani, Ang, Lovina (2017) VIDEO RECOMMENDER SYSTEM USING NAIVE BAYES ALGORITHM. Other thesis, Unika Soegijapranata Semarang.
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Abstract
In watching YouTube's videos, of course every user has their own criteria. There are users who open YouTube site to watch some specific category of videos like music, sports, education, and etc. There are users who open YouTube site to watch some videos which shared by specific users. Other users may open the YouTube site because of many specific reasons. With so many categories and active registered users on YouTube, then there will be many possibilities that can indicate that a video has an attribute like the user’s criteria or not. To help the users to choose the video, recommender system can be used. There are many ways to build video recommender system, one of them is by using Bayesian Theorem especially Naive Bayes Algorithm. The Naive Bayes algorithm is an algorithm that works based on the principle of probability. Then, to collect the data that needed such as the video datas, this project use the YouTube API features. The result in this project shown that Naive Bayes Algorithm can be applied to build video recommender system. The system works well. It is indicated by the similarity of the result with YouTube's recommendation. The system works better when the seen datas has a same channel id for each videos
| Item Type: | Thesis (Other) |
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| Subjects: | 000 Computer Science, Information and General Works > 005 Computer programming, programs & data |
| Divisions: | Faculty of Computer Science > Department of Informatics Engineering |
| Depositing User: | Mrs Christiana Sundari |
| Date Deposited: | 26 Oct 2017 04:46 |
| Last Modified: | 30 May 2022 07:54 |
| URI: | http://repository.unika.ac.id/id/eprint/14918 |
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