Follow
XIN XIN
XIN XIN
School of Computer Science and Technology, Shandong University
Verified email at sdu.edu.cn - Homepage
Title
Cited by
Cited by
Year
Relational collaborative filtering: Modeling multiple item relations for recommendation
X Xin, X He, Y Zhang, Y Zhang, J Jose
Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019
1112019
Self-supervised reinforcement learning for recommender systems
X Xin, A Karatzoglou, I Arapakis, JM Jose
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
932020
CFM: Convolutional Factorization Machines for Context-Aware Recommendation.
X Xin, B Chen, X He, D Wang, Y Ding, JM Jose
IJCAI 19, 3926-3932, 2019
812019
AutoDebias: Learning to debias for recommendation
J Chen, H Dong, Y Qiu, X He, X Xin, L Chen, G Lin, K Yang
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
492021
fBGD: Learning embeddings from positive unlabeled data with BGD
F Yuan, X Xin, X He, G Guo, W Zhang, C Tat-Seng, JM Jose
322018
Should graph convolution trust neighbors? a simple causal inference method
F Feng, W Huang, X He, X Xin, Q Wang, TS Chua
Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021
272021
Batch IS NOT heavy: LearningWord representations from all samples
X Xin, F Yuan, X He, JM Jose
162018
TGCN: Tag graph convolutional network for tag-aware recommendation
B Chen, W Guo, R Tang, X Xin, Y Ding, X He, D Wang
Proceedings of the 29th ACM International Conference on Information …, 2020
132020
SCFM: Social and crowdsourcing factorization machines for recommendation
Y Ding, D Wang, X Xin, G Li, D Sun, X Zeng, R Ranjan
Applied Soft Computing 66, 548-556, 2018
92018
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training
M Cheng, F Yuan, Q Liu, X Xin, E Chen
2021 IEEE International Conference on Data Mining (ICDM), 51-60, 2021
82021
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning
D Stamenkovic, A Karatzoglou, I Arapakis, X Xin, K Katevas
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
72022
Graph Convolutional Embeddings for Recommender Systems
P Gómez Duran, A Karatzoglou, J Vitriŕ, X Xin, I Arapakis
arXiv e-prints, arXiv: 2103.03587, 2021
6*2021
FHSM: factored hybrid similarity methods for top-n recommender systems
X Xin, D Wang, Y Ding, C Lini
Asia-Pacific Web Conference, 98-110, 2016
62016
Decomposed collaborative filtering: modeling explicit and implicit factors for recommender systems
H Chen, X Xin, D Wang, Y Ding
Proceedings of the 14th ACM international conference on web search and data …, 2021
52021
Graph highway networks
X Xin, A Karatzoglou, I Arapakis, JM Jose
arXiv preprint arXiv:2004.04635, 2020
52020
AIRec: Attentive intersection model for tag-aware recommendation
B Chen, Y Ding, X Xin, Y Li, Y Wang, D Wang
Neurocomputing 421, 105-114, 2021
42021
Exploiting long‐term and short‐term preferences and RFID trajectories in shop recommendation
Y Ding, D Wang, G Li, D Sun, X Xin, S Qian
Software: Practice and Experience 47 (6), 849-865, 2017
42017
Learning Robust Recommenders through Cross-Model Agreement
Y Wang, X Xin, Z Meng, JM Jose, F Feng, X He
Proceedings of the ACM Web Conference 2022, 2015-2025, 2022
32022
Supervised Advantage Actor-Critic for Recommender Systems
X Xin, A Karatzoglou, I Arapakis, JM Jose
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
32022
Variational Reasoning about User Preferences for Conversational Recommendation
Z Ren, Z Tian, D Li, P Ren, L Yang, X Xin, H Liang, M de Rijke, Z Chen
32022
The system can't perform the operation now. Try again later.
Articles 1–20