Multi-relational Stacking Ensemble Recommender System using Cinematic Experience

• (2022.01.20) Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience in IEEE BigComp2022
• Reference code: https://github.com/zhoujf620/Motif-based-inductive-GNN-training
• Author's Paper link: https://arxiv.org/pdf/1706.02263v2.pdf
• Reference code: https://github.com/tobiasweede/rs-via-gnn/tree/main/02_gcmc/movielens

Dependencies

• PyTorch 1.2+
• DGL 0.5 (nightly version)

Data

Movie data

• Rotten Tomatoes data : https://www.kaggle.com/stefanoleone992/rotten-tomatoes-movies-and-critic-reviews-dataset

Training set for BERT

• Sentiment Analysis : https://www.kaggle.com/c/sentiment-analysis-on-movie-reviews
• Emotion Analysis : https://www.kaggle.com/praveengovi/emotions-dataset-for-nlp

How to run

• grid_search_final.ipynb

Results

Dataset	Our code best of epochs
Rotten Tomatoes	0.8070