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Can Xu
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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
3802018
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
812019
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
392021
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
362022
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
362021
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
262022
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
72014
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
42023
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
22022
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
22018
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
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