Yelp18_m1
Dataset description:
The data statistics are summarized as follows:
Dataset ID #Users #Items #Interactions #Train #Test Density Yelp18_m1 31,668 38,048 1,561,406 1,237,259 324,147 0.00130 Data format:
user_id item1 item2 ...Source: https://www.yelp.com/dataset
Download: https://huggingface.co/datasets/reczoo/Yelp18_m1/tree/main
RecZoo Datasets: https://github.com/reczoo/Datasets
Used by papers:
- Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yongdong Zhang, Meng Wang. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR 2020.
- Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He. SimpleX: A Simple and Strong Baseline for Collaborative Filtering. In CIKM 2021.
- Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He. UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. In CIKM 2021.
Check the md5sum for data integrity:
$ md5sum *.txt 520fe559761ff2c654629201c807f353 item_list.txt 0d57d7399862c32152b045ec5d2698e7 test.txt 1b8b5d22a227e01d6de002c53d32b4c4 train.txt ae4f810cd6e827f10fc418753c7d92f9 user_list.txt