| Etree: Effective and efficient event modeling for real-time online social media networks H Gu, X Xie, Q Lv, Y Ruan, L Shang 2011 IEEE/WIC/ACM international conferences on web intelligence and …, 2011 | 69 | 2011 |
| CL4CTR: A Contrastive Learning Framework for CTR Prediction F Wang, Y Wang, D Li, H Gu, T Lu, P Zhang, N Gu WSDM 2023, 2023 | 47 | 2023 |
| Enhancing CTR Prediction with Context-Aware Feature Representation Learning F Wang, Y Wangp, D Li, H Gu, T Lu, P Zhang, N Gu SIGIR 2022, 2022 | 41 | 2022 |
| AdaError: An adaptive learning rate method for matrix approximation-based collaborative filtering D Li, C Chen, Q Lv, H Gu, T Lu, L Shang, N Gu, SM Chu Proceedings of the 2018 world wide web conference, 741-751, 2018 | 38 | 2018 |
| FIRE: Fast incremental recommendation with graph signal processing J Xia, D Li, H Gu, J Liu, T Lu, N Gu Proceedings of the ACM Web Conference 2022, 2360-2369, 2022 | 37 | 2022 |
| Fusing text and frienships for location inference in online social networks H Gu, H Hang, Q Lv, D Grunwald 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and …, 2012 | 36 | 2012 |
| Hybrid recommendation model based on incremental collaborative filtering and content-based algorithms H Wang, P Zhang, T Lu, H Gu, N Gu 2017 IEEE 21st international conference on computer supported cooperative …, 2017 | 35 | 2017 |
| Group-based latent dirichlet allocation (group-lda): Effective audience detection for books in online social media P Zhang, H Gu, M Gartrell, T Lu, D Yang, X Ding, N Gu Knowledge-Based Systems 105, 134-146, 2016 | 30 | 2016 |
| AnchorMF: towards effective event context identification H Gu, M Gartrell, L Zhang, Q Lv, D Grunwald Proceedings of the 22nd ACM international conference on Information …, 2013 | 29 | 2013 |
| Towards deeper, lighter and interpretable cross network for CTR prediction F Wang, H Gu, D Li, T Lu, P Zhang, N Gu Proceedings of the 32nd ACM international conference on information and …, 2023 | 28 | 2023 |
| Personalized Graph Signal Processing for Collaborative Filtering J Liu, D Li, H Gu, T Lu, P Zhang, L Shang, N Gu TheWebConf 2023, 2023 | 28 | 2023 |
| Incremental graph convolutional network for collaborative filtering J Xia, D Li, H Gu, T Lu, P Zhang, N Gu Proceedings of the 30th ACM International Conference on Information …, 2021 | 28 | 2021 |
| RAH! RecSys–Assistant–Human: A Human-Centered Recommendation Framework With LLM Agents Y Shu, H Zhang, H Gu, P Zhang, T Lu, D Li, N Gu IEEE Transactions on Computational Social Systems, 2024 | 26* | 2024 |
| Behavior prediction using an improved Hidden Markov Model to support people with disabilities in smart homes E Wu, P Zhang, T Lu, H Gu, N Gu 2016 IEEE 20th International Conference on Computer Supported Cooperative …, 2016 | 19 | 2016 |
| Autoseqrec: Autoencoder for efficient sequential recommendation S Liu, J Liu, H Gu, D Li, T Lu, P Zhang, N Gu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 18 | 2023 |
| Accurate and explainable recommendation via review rationalization S Pan, D Li, H Gu, T Lu, X Luo, N Gu Proceedings of the ACM web conference 2022, 3092-3101, 2022 | 18 | 2022 |
| Parameter-free Dynamic Graph Embedding for Link Prediction J Liu, D Li, H Gu, T Lu, P Zhang, N Gu NeurIPS 2022, 2022 | 17 | 2022 |
| Understanding relationship overlapping on social network sites: A case study of Weibo and Douban P Zhang, H Zhu, T Lu, H Gu, W Huang, N Gu Proceedings of the ACM on Human-computer Interaction 1 (CSCW), 1-18, 2017 | 16 | 2017 |
| Hierarchical attentional factorization machines for expert recommendation in community question answering W Tang, T Lu, D Li, H Gu, N Gu IEEE Access 8, 35331-35343, 2020 | 14 | 2020 |
| Recommendation unlearning via matrix correction J Liu, D Li, H Gu, T Lu, J Wu, P Zhang, L Shang, N Gu arXiv preprint arXiv:2307.15960, 2023 | 13 | 2023 |