Recbole: Towards a unified, comprehensive and efficient framework for recommendation algorithms WX Zhao, S Mu, Y Hou, Z Lin, Y Chen, X Pan, K Li, Y Lu, H Wang, C Tian, ... CIKM 2021, Resource Track, 4653–4664, 2021 | 347* | 2021 |
RecBole 2.0: Towards a More Up-to-Date Recommendation Library WX Zhao, Y Hou, X Pan, C Yang, Z Zhang, Z Lin, J Zhang, S Bian, J Tang, ... CIKM 2022, Resource Track, 4722-4726, 2022 | 72 | 2022 |
Multimodal Meta-Learning for Cold-Start Sequential Recommendation X Pan, Y Chen, C Tian, Z Lin, J Wang, H Hu, WX Zhao CIKM 2022, 3421-3430, 2022 | 23 | 2022 |
Leveraging Search History for Improving Person-Job Fit Y Hou, X Pan, WX Zhao, S Bian, Y Song, T Zhang, JR Wen DASFAA 2022, 38-54, 2022 | 8 | 2022 |
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems L Xu, Z Tian, G Zhang, J Zhang, L Wang, B Zheng, Y Li, J Tang, Z Zhang, ... SIGIR 2023 Resource paper, 2837-2847, 2023 | 5 | 2023 |
Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation S Bian, X Pan, WX Zhao, J Wang, C Wang, JR Wen CIKM 2023, 110-119, 2023 | 2 | 2023 |