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Sequential Recommendation

Sequential Recommendation system for song based on traditional statistical language model (NGram, SkipGram), Neural Network Language Model (Gated Recurrent Unit), and LLM (T5)

Module Structure

root/
  |──src/
  |   |── __init__.py
  |   |── main.py
  |   |── utils.py
  |   └── eda.py 
  |── data/
  |   |── label_test_source.parquet
  |   |── label_train_source
  |   |── label_train_target
  |   |── meta_song_composer
  |   |── meta_song_genre
  |   |── meta_song_lyricist
  |   |── meta_song_producer
  |   |── meta_song_titletext
  |   |── meta_song
  |   └── sample.csv
  |── .gitignore
  |── README.md
  |── requirements.txt
  └── eda.sh

EDA

Execute eda.sh to generate EDA report for specific dataset.

chmod +x eda.sh
eda.sh

Preliminary and incomplete

  • Stats LM: Need to Refactor
  • NNLM: Developing
  • LLM: Need to Refactor

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