Published December 17, 2023
| Version v1
Dataset
Open
Netflix Movies and TV Shows Recommendation with Neo4j
Authors/Creators
Description
Recommendation for movies can help discover new and enjoyable movies. This study uses the Neo4j Graph Database to create a recommendation system using the Netflix Movie Dataset. The objective of this research is the development of a movie recommendation algorithm using the k-NN similarity algorithm and FastRP node embedding machine learning. The results have provided recommendations based on similar attributes, such as actors, directors, country, type, and rating.
Files
Files
(12.4 MB)
| Name | Size | Download all |
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md5:c666713a6deb18e521fd2fe8ce04a6d9
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1.8 kB | Download |
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md5:350ec8da08a359b1bfdc4ab694b59396
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12.4 MB | Download |