| Large language models are zero-shot rankers for recommender systems Y Hou, J Zhang, Z Lin, H Lu, R Xie, J McAuley, WX Zhao European Conference on Information Retrieval, 364-381, 2024 | 292 | 2024 |
| Between clicks and satisfaction: Study on multi-phase user preferences and satisfaction for online news reading H Lu, M Zhang, S Ma The 41st international acm sigir conference on research & development in …, 2018 | 78 | 2018 |
| Adapting large language models by integrating collaborative semantics for recommendation B Zheng, Y Hou, H Lu, Y Chen, WX Zhao, M Chen, JR Wen 2024 IEEE 40th International Conference on Data Engineering (ICDE), 1435-1448, 2024 | 58 | 2024 |
| Effects of user negative experience in mobile news streaming H Lu, M Zhang, W Ma, C Wang, F Xia, Y Liu, L Lin, S Ma Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 31 | 2019 |
| User perception of recommendation explanation: Are your explanations what users need? H Lu, W Ma, Y Wang, M Zhang, X Wang, Y Liu, TS Chua, S Ma ACM Transactions on Information Systems 41 (2), 1-31, 2023 | 21 | 2023 |
| A difficulty-aware framework for churn prediction and intervention in games J Li, H Lu, C Wang, W Ma, M Zhang, X Zhao, W Qi, Y Liu, S Ma Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 20 | 2021 |
| Make fairness more fair: Fair item utility estimation and exposure re-distribution J Wang, W Ma, J Li, H Lu, M Zhang, B Li, Y Liu, P Jiang, S Ma Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 19 | 2022 |
| Quality effects on user preferences and behaviorsin mobile news streaming H Lu, M Zhang, W Ma, Y Shao, Y Liu, S Ma The World Wide Web Conference, 1187-1197, 2019 | 17 | 2019 |
| How integration helps on cold-start recommendations C Guo, H Lu, S Shi, B Hao, B Liu, M Zhang, Y Liu, S Ma Proceedings of the Recommender Systems Challenge 2017, 1-6, 2017 | 14 | 2017 |
| Contextualized fairness for recommender systems in premium scenarios Y Li, ML Hedia, W Ma, H Lu, M Zhang, Y Liu, S Ma Big Data Research 27, 100300, 2022 | 11 | 2022 |
| Standing in your shoes: External assessments for personalized recommender systems H Lu, W Ma, M Zhang, M De Rijke, Y Liu, S Ma Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 8 | 2021 |
| Scaling law of large sequential recommendation models G Zhang, Y Hou, H Lu, Y Chen, WX Zhao, JR Wen Proceedings of the 18th ACM Conference on Recommender Systems, 444-453, 2024 | 6 | 2024 |
| Privacy-aware remote information retrieval user experiments logging tool H Li, H Lu, S Huang, W Ma, M Zhang, Y Liu, S Ma Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 5 | 2021 |
| Wide & deep learning in job recommendation: An empirical study S Shi, M Zhang, H Lu, Y Liu, S Ma Asia Information Retrieval Symposium, 112-124, 2017 | 5 | 2017 |
| Streaming CTR Prediction: Rethinking Recommendation Task for Real-World Streaming Data QW Wang, H Lu, Y Chen, DW Zhou, DC Zhan, M Chen, HJ Ye arXiv preprint arXiv:2307.07509, 2023 | 3 | 2023 |
| Enhancing Graph Contrastive Learning with Reliable and Informative Augmentation for Recommendation B Zheng, J Zhang, H Lu, Y Chen, M Chen, WX Zhao, JR Wen arXiv preprint arXiv:2409.05633, 2024 | 1 | 2024 |
| Cross-Domain LifeLong Sequential Modeling for Online Click-Through Rate Prediction R Hou, Z Yang, Y Ming, H Lu, Z Zheng, Y Chen, Q Zeng, M Chen Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Between Clicks and Satisfaction H Lu, M Zhang, S Ma The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | | 2018 |
