| Latent cross: Making use of context in recurrent recommender systems A Beutel, P Covington, S Jain, C Xu, J Li, V Gatto, EH Chi Proceedings of the eleventh ACM international conference on web search and …, 2018 | 389 | 2018 |
| Towards neural mixture recommender for long range dependent user sequences J Tang, F Belletti, S Jain, M Chen, A Beutel, C Xu, E H. Chi The World Wide Web Conference, 1782-1793, 2019 | 86 | 2019 |
| User response models to improve a reinforce recommender system M Chen, B Chang, C Xu, EH Chi Proceedings of the 14th ACM international conference on web search and data …, 2021 | 48 | 2021 |
| Surrogate for long-term user experience in recommender systems Y Wang, M Sharma, C Xu, S Badam, Q Sun, L Richardson, L Chung, ... Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 46 | 2022 |
| Values of user exploration in recommender systems M Chen, Y Wang, C Xu, Y Le, M Sharma, L Richardson, SL Wu, E Chi Proceedings of the 15th ACM Conference on Recommender Systems, 85-95, 2021 | 40 | 2021 |
| Off-policy actor-critic for recommender systems M Chen, C Xu, V Gatto, D Jain, A Kumar, E Chi Proceedings of the 16th ACM Conference on Recommender Systems, 338-349, 2022 | 35 | 2022 |
| Latent user intent modeling for sequential recommenders B Chang, A Karatzoglou, Y Wang, C Xu, EH Chi, M Chen Companion Proceedings of the ACM Web Conference 2023, 427-431, 2023 | 9 | 2023 |
| Learning receptive fields for pooling from tensors of feature response C Xu, N Vasconcelos Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 7 | 2014 |
| Reward Shaping for User Satisfaction in a REINFORCE Recommender K Christakopoulou, C Xu, S Zhang, S Badam, T Potter, D Li, H Wan, X Yi, ... arXiv preprint arXiv:2209.15166, 2022 | 3 | 2022 |
| Latent cross A Beutel, P Covington, S Jain, C Xu, J Li, V Gatto, H Chi Proceedings of the Eleventh ACM International Conference on Web Search and …, 2018 | 2 | 2018 |
| Recency Dropout for Recurrent Recommender Systems B Chang, C Xu, M Lê, J Feng, Y Le, S Badam, E Chi, M Chen arXiv preprint arXiv:2201.11016, 2022 | | 2022 |
| Visual sentiment prediction with deep convolutional neural networks X Can, C Suleyman, L Kuang-Chih, L Li-Jia Retrieved from: Arxiv Preprint Arxiv 1411, 2014 | | 2014 |
