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Social Collaborative Metric Learning

Implementation of Social Collaborative Metric Learning (SCML).

Environment

Tested on python 3.6 and TensorFlow 1.14.0.

Example

Run the code with this example:

python SCML.py --manifold Euclidean --cuda 0 -d 10 --lr 0.001 --dataset ciao --rating_margin 0.1 --social_margin 0.1 --Lambda 0.1

Citation

If you find our work helpful, please cite the following paper:

Sixiao Zhang, Hongxu Chen, Xiao Ming, Lizhen Cui, Hongzhi Yin, and Guandong Xu. 2021. Where are we in embedding spaces? A ComprehensiveAnalysis on Network Embedding Approaches for Recommender Systems. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21)

Acknowledgement

This code is developed based on Collaborative Metric Learning (https://github.com/changun/CollMetric)

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