Sequential Movie Genre Prediction using Average Transition Probability with Clustering

@article{Kim2021SequentialMG,
  title={Sequential Movie Genre Prediction using Average Transition Probability with Clustering},
  author={Jihye Kim and Jinkyung Kim and Jaeyoung Choi},
  journal={ArXiv},
  year={2021},
  volume={abs/2111.02740}
}
In recent movie recommendations, predicting the user’s sequential behavior and suggesting the next movie to watch is one of the most important issues. However, capturing such sequential behavior is not easy because each user’s short-term or long-term behavior must be taken into account. For this reason, many research results show that the performance of recommending a specific movie is not very high in a sequential recommendation. In this paper, we propose a cluster-based method for classifying… 
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