| Explicit factor models for explainable recommendation based on phrase-level sentiment analysis Y Zhang, G Lai, M Zhang, Y Zhang, Y Liu, S Ma Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 487 | 2014 |
| Sequential recommendation with user memory networks X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha Proceedings of the eleventh ACM international conference on web search and …, 2018 | 199 | 2018 |
| Explainable recommendation: A survey and new perspectives Y Zhang, X Chen Foundations and Trends in Information Retrieval 14 (1), 1-101, 2020 | 194 | 2020 |
| Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources Y Zhang, Q Ai, X Chen, WB Croft The 26th ACM International Conference on Information and Knowledge Management, 2017 | 162 | 2017 |
| Towards conversational search and recommendation: System ask, user respond Y Zhang, X Chen, Q Ai, L Yang, WB Croft Proceedings of the 27th acm international conference on information and …, 2018 | 107 | 2018 |
| Learning heterogeneous knowledge base embeddings for explainable recommendation Q Ai, V Azizi, X Chen, Y Zhang Algorithms 11 (9), 137, 2018 | 103* | 2018 |
| Learning to rank features for recommendation over multiple categories X Chen, Z Qin, Y Zhang, T Xu Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016 | 99 | 2016 |
| Response ranking with deep matching networks and external knowledge in information-seeking conversation systems L Yang, M Qiu, C Qu, J Guo, Y Zhang, WB Croft, J Huang, H Chen The 41st international acm sigir conference on research & development in …, 2018 | 90 | 2018 |
| Personalized Key Frame Recommendation X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin The 40th International ACM SIGIR Conference on Research and Development in …, 2017 | 80 | 2017 |
| Do users rate or review?: Boost phrase-level sentiment labeling with review-level sentiment classification Y Zhang, H Zhang, M Zhang, Y Liu, S Ma Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 78 | 2014 |
| Localized matrix factorization for recommendation based on matrix block diagonal forms Y Zhang, M Zhang, Y Liu, S Ma, S Feng Proceedings of the 22nd international conference on World Wide Web, 1511-1520, 2013 | 70 | 2013 |
| Reinforcement knowledge graph reasoning for explainable recommendation Y Xian, Z Fu, S Muthukrishnan, G De Melo, Y Zhang Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 65 | 2019 |
| Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin, H Zha Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019 | 63* | 2019 |
| Daily-aware personalized recommendation based on feature-level time series analysis Y Zhang, M Zhang, Y Zhang, G Lai, Y Liu, H Zhang, S Ma Proceedings of the 24th international conference on world wide web, 1373-1383, 2015 | 63 | 2015 |
| Detecting stress based on social interactions in social networks H Lin, J Jia, J Qiu, Y Zhang, G Shen, L Xie, J Tang, L Feng, TS Chua IEEE Transactions on Knowledge and Data Engineering 29 (9), 1820-1833, 2017 | 61 | 2017 |
| Fairness-Aware Group Recommendation with Pareto Efficiency X Lin, M Zhang, Y Zhang, Z Gu, Y Liu, S Ma Proceedings of the 11th ACM Conference on Recommender Systems, 2017 | 60 | 2017 |
| Learning a Hierarchical Embedding Model for Personalized Product Search Q Ai, Y Zhang, K Bi, X Chen, WB Croft The 40th International ACM SIGIR Conference on Research and Development in …, 2017 | 60 | 2017 |
| Incorporating phrase-level sentiment analysis on textual reviews for personalized recommendation Y Zhang Proceedings of the eighth ACM international conference on web search and …, 2015 | 54 | 2015 |
| E-commerce recommendation with personalized promotion Q Zhao, Y Zhang, D Friedman, F Tan Proceedings of the 9th ACM Conference on Recommender Systems, 219-226, 2015 | 45 | 2015 |
| Dynamic explainable recommendation based on neural attentive models X Chen, Y Zhang, Z Qin Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 53-60, 2019 | 44 | 2019 |
Xu Chen 陈 旭Assistant Professor (Tenure-Track), Renmin University of ChinaVerified email at ruc.edu.cn
