YouTube Recommendation
The shared materials include the source codes and the datasets used in this work, which consist of: The scripts to collect videos with their recommended videos and the dataset (more than 600MB), The scripts to build video recommendation network, The scripts to random walk simulation and diversity measurement, The scripts of GNN models to estimate diversification score, The scripts to implement re-ranking algorithm
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