Advances and challenges in conversational recommender systems: A survey C Gao, W Lei, X He, M de Rijke, TS Chua AI open 2, 100-126, 2021 | 254 | 2021 |
Generating reliable friends via adversarial training to improve social recommendation J Yu, M Gao, H Yin, J Li, C Gao, Q Wang 2019 IEEE international conference on data mining (ICDM), 768-777, 2019 | 96 | 2019 |
KuaiRec: A fully-observed dataset and insights for evaluating recommender systems C Gao, S Li, W Lei, J Chen, B Li, P Jiang, X He, J Mao, TS Chua Proceedings of the 31st ACM International Conference on Information …, 2022 | 95* | 2022 |
CIRS: Bursting filter bubbles by counterfactual interactive recommender system C Gao, S Wang, S Li, J Chen, X He, W Lei, B Li, Y Zhang, P Jiang ACM Transactions on Information Systems 42 (1), 1-27, 2023 | 55 | 2023 |
Kuairand: an unbiased sequential recommendation dataset with randomly exposed videos C Gao, S Li, Y Zhang, J Chen, B Li, W Lei, P Jiang, X He Proceedings of the 31st ACM International Conference on Information …, 2022 | 48 | 2022 |
Semantic trajectory compression via multi-resolution synchronization-based clustering C Gao, Y Zhao, R Wu, Q Yang, J Shao Knowledge-Based Systems 174, 177-193, 2019 | 29 | 2019 |
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation C Gao, K Huang, J Chen, Y Zhang, B Li, P Jiang, S Wang, Z Zhang, X He Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 27 | 2023 |
Semantic trajectory representation and retrieval via hierarchical embedding C Gao, Z Zhang, C Huang, H Yin, Q Yang, J Shao Information Sciences 538, 176-192, 2020 | 20 | 2020 |
Revisiting representation degeneration problem in language modeling Z Zhang, C Gao, C Xu, R Miao, Q Yang, J Shao Findings of the Association for Computational Linguistics: EMNLP 2020, 518-527, 2020 | 19 | 2020 |
On the theories behind hard negative sampling for recommendation W Shi, J Chen, F Feng, J Zhang, J Wu, C Gao, X He Proceedings of the ACM Web Conference 2023, 812-822, 2023 | 17 | 2023 |
Synchronization-inspired co-clustering and its application to gene expression data J Shao, C Gao, W Zeng, J Song, Q Yang 2017 IEEE International Conference on Data Mining (ICDM), 1075-1080, 2017 | 14 | 2017 |
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models Z Zhang, N Shao, C Gao, R Miao, Q Yang, J Shao Knowledge-Based Systems 240, 108075, 2022 | 10 | 2022 |
Who are the best adopters? User selection model for free trial item promotion S Wang, C Gao, M Gao, J Yu, Z Wang, H Yin IEEE Transactions on Big Data 9 (2), 746-757, 2022 | 9 | 2022 |
BLOMA: Explain collaborative filtering via boosted local rank-one matrix approximation C Gao, S Yuan, Z Zhang, H Yin, J Shao Database Systems for Advanced Applications: DASFAA 2019 International …, 2019 | 9 | 2019 |
RecSys 2021 tutorial on conversational recommendation: Formulation, methods, and evaluation W Lei, C Gao, M de Rijke Proceedings of the 15th ACM Conference on Recommender Systems, 842-844, 2021 | 8 | 2021 |
Advances and challenges in conversational recommender systems: A survey. AI Open 2 (2021), 100ś126 C Gao, W Lei, X He, M de Rijke, TS Chua | 5 | 2021 |
SemiSync: Semi-supervised clustering by synchronization Z Zhang, D Kang, C Gao, J Shao Database Systems for Advanced Applications: DASFAA 2019 International …, 2019 | 4 | 2019 |
Online budgeted least squares with unlabeled data C Huang, P Li, C Gao, Q Yang, J Shao 2019 IEEE International Conference on Data Mining (ICDM), 309-318, 2019 | 3 | 2019 |
Towards robust arbitrarily oriented subspace clustering Z Zhang, C Gao, C Liu, Q Yang, J Shao Database Systems for Advanced Applications: 24th International Conference …, 2019 | 3 | 2019 |
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning W Shi, X He, Y Zhang, C Gao, X Li, J Zhang, Q Wang, F Feng arXiv preprint arXiv:2403.00843, 2024 | 2 | 2024 |