Attention-based adaptive model to unify warm and cold starts recommendation S Shi, M Zhang, Y Liu, S Ma Proceedings of the 27th ACM International Conference on Information and …, 2018 | 18 | 2018 |
ViVo: Video-augmented dictionary for vocabulary learning Y Zhu, Y Wang, C Yu, S Shi, Y Zhang, S He, P Zhao, X Ma, Y Shi Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems …, 2017 | 12 | 2017 |
Generate natural language explanations for recommendation H Chen, X Chen, S Shi, Y Zhang Proceedings of SIGIR’19 Workshop on ExplainAble Recommendation and Search. ACM, 2019 | 6 | 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 | 5 | 2017 |
Adaptive Feature Sampling for Recommendation with Missing Content Feature Values S Shi, M Zhang, X Yu, Y Zhang, B Hao, Y Liu, S Ma Proceedings of the 28th ACM International Conference on Information and …, 2019 | 3 | 2019 |
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 | 3 | 2017 |
Neural logic networks S Shi, H Chen, M Zhang, Y Zhang arXiv preprint arXiv:1910.08629, 2019 | 2 | 2019 |
Neural Logic Reasoning S Shi, H Chen, W Ma, J Mao, M Zhang, Y Zhang Proceedings of the 29th ACM International Conference on Information …, 2020 | 1 | 2020 |
Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation S Shi, W Ma, M Zhang, Y Zhang, X Yu, H Shan, Y Liu, S Ma Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 1 | 2020 |
Neural Collaborative Reasoning H Chen, S Shi, Y Li, Y Zhang arXiv preprint arXiv:2005.08129, 2020 | 1 | 2020 |
Negative Feedback Aware Hybrid Sequential Neural Recommendation Model B Hao, M Zhang, W Ma, S Shi, X Yu, H Shan, Y Liu, S Ma CCF International Conference on Natural Language Processing and Chinese …, 2020 | | 2020 |