Abstract
—In this article, we mainly describes the process of building a model for movie rating prediction system, which based on users review on various movies, users' and movies' meta data. We will first introduce the movie review dataset we are going to use, and the exploration we have done on it. The second part describes what prediction task we are going to solve. Then we talked about related work and what criteria my model will be based on. The last part focus on how to train the model and final result and conclusions.
Cite
CITATION STYLE
Sokol, A. (2019). Movie Recommender System. Southeast Europe Journal of Soft Computing, 8(2). https://doi.org/10.21533/scjournal.v8i2.180
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