DaGzang: A Synthetic Data Generator for Cross-domain Recommendation Services

DaGzang generate synthetic datasets to provide for cross-domain recommendation systems. DaGzang platform works according to the complete loop, and it has three major roles as follows (i) detect the overlap association (data distribution pattern) between the real-world datasets, (ii) generate synthetic datasets based on these real-world datasets, and (iii) evaluate the quality of the generated synthetic datasets.