Long Xia
Title
Cited by
Cited by
Year
Deep reinforcement learning for page-wise recommendations
X Zhao, L Xia, L Zhang, Z Ding, D Yin, J Tang
Proceedings of the 12th ACM Conference on Recommender Systems, 95-103, 2018
872018
Recommendations with negative feedback via pairwise deep reinforcement learning
X Zhao, L Zhang, Z Ding, L Xia, J Tang, D Yin
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge …, 2018
832018
Deep reinforcement learning for list-wise recommendations
X Zhao, L Zhang, L Xia, Z Ding, D Yin, J Tang
arXiv preprint arXiv:1801.00209, 2017
472017
Learning maximal marginal relevance model via directly optimizing diversity evaluation measures
L Xia, J Xu, Y Lan, J Guo, X Cheng
Proceedings of the 38th international ACM SIGIR conference on research and …, 2015
422015
Adapting Markov decision process for search result diversification
L Xia, J Xu, Y Lan, J Guo, W Zeng, X Cheng
Proceedings of the 40th International ACM SIGIR Conference on Research and …, 2017
372017
Modeling document novelty with neural tensor network for search result diversification
L Xia, J Xu, Y Lan, J Guo, X Cheng
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
332016
" Deep reinforcement learning for search, recommendation, and online advertising: a survey" by Xiangyu Zhao, Long Xia, Jiliang Tang, and Dawei Yin with Martin Vesely as coordinator
X Zhao, L Xia, J Tang, D Yin
ACM SIGWEB Newsletter, 1-15, 2019
21*2019
Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems
L Zou, L Xia, Z Ding, J Song, W Liu, D Yin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
182019
Directly optimize diversity evaluation measures: a new approach to search result diversification
J Xu, L Xia, Y Lan, J Guo, X Cheng
ACM Transactions on Intelligent Systems and Technology (TIST) 8 (3), 1-26, 2017
172017
Model-based reinforcement learning for whole-chain recommendations
X Zhao, L Xia, D Yin, J Tang
arXiv preprint arXiv:1902.03987, 2019
142019
Reinforcement Learning to Diversify Top-N Recommendation
L Zou, L Xia, Z Ding, D Yin, J Song, W Liu
International Conference on Database Systems for Advanced Applications, 104-120, 2019
72019
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation
L Zou, L Xia, P Du, Z Zhang, T Bai, W Liu, JY Nie, D Yin
Proceedings of the 13th International Conference on Web Search and Data …, 2020
62020
Toward simulating environments in reinforcement learning based recommendations
X Zhao, L Xia, Z Ding, D Yin, J Tang
arXiv preprint arXiv:1906.11462, 2019
52019
Neural Interactive Collaborative Filtering
L Zou, L Xia, Y Gu, X Zhao, W Liu, JX Huang, D Yin
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
32020
Off-policy learning for multiple loggers
L He, L Xia, W Zeng, ZM Ma, Y Zhao, D Yin
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
32019
Whole-Chain Recommendations
X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang
Proceedings of the 29th ACM International Conference on Information …, 2020
2020
Reinforcement Learning to Rank with Pairwise Policy Gradient
J Xu, Z Wei, L Xia, Y Lan, D Yin, X Cheng, JR Wen
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
2020
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
P Wang, Y Fan, L Xia, WX Zhao, S Niu, J Huang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
2020
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