Παρακολούθηση
Yupeng Hou
Yupeng Hou
University of California, San Diego
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ucsd.edu - Αρχική σελίδα
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Παρατίθεται από
Παρατίθεται από
Έτος
A survey of large language models
WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou, Y Min, B Zhang, J Zhang, ...
arXiv preprint arXiv:2303.18223, 2023
4204*2023
RecBole: Towards a unified, comprehensive and efficient framework for recommendation algorithms
WX Zhao, S Mu, Y Hou, Z Lin, Y Chen, X Pan, K Li, Y Lu, H Wang, C Tian, ...
CIKM 2021, Resource Track, 2021
458*2021
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Z Lin, C Tian, Y Hou, WX Zhao
TheWebConf (WWW) 2022, 2022
4382022
Large language models are zero-shot rankers for recommender systems
Y Hou, J Zhang, Z Lin, H Lu, R Xie, J McAuley, WX Zhao
ECIR 2024, 2024
3562024
Towards Universal Sequence Representation Learning for Recommender Systems
Y Hou, S Mu, WX Zhao, Y Li, B Ding, JR Wen
KDD 2022, 2022
2682022
Recommendation as instruction following: A large language model empowered recommendation approach
J Zhang, R Xie, Y Hou, X Zhao, L Lin, JR Wen
ACM Transactions on Information Systems, 2023
2062023
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Y Hou, Z He, J McAuley, WX Zhao
TheWebConf (WWW) 2023, 2023
1392023
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
WX Zhao, Y Hou, X Pan, C Yang, Z Zhang, Z Lin, J Zhang, S Bian, J Tang, ...
CIKM 2022, Resource Track, 2022
1282022
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Y Hou, B Hu, Z Zhang, WX Zhao
SIGIR 2022, short paper, 2022
962022
Adapting large language models by integrating collaborative semantics for recommendation
B Zheng, Y Hou, H Lu, Y Chen, WX Zhao, JR Wen
ICDE 2024, 2024
772024
Bridging language and items for retrieval and recommendation
Y Hou, J Li, Z He, A Yan, X Chen, J McAuley
arXiv preprint arXiv:2403.03952, 2024
742024
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
J Zhang, Y Hou, R Xie, W Sun, J McAuley, WX Zhao, L Lin, JR Wen
TheWebConf (WWW) 2024, 2024
572024
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
S Bian, X Chen, WX Zhao, K Zhou, Y Hou, Y Song, T Zhang, JR Wen
CIKM 2020, 65-74, 2020
572020
Modeling Two-Way Selection Preference for Person-Job Fit
C Yang, Y Hou, Y Song, T Zhang, JR Wen, WX Zhao
RecSys 2022, 2022
472022
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems
L Xu, Z Tian, G Zhang, J Zhang, L Wang, B Zheng, Y Li, J Tang, Z Zhang, ...
SIGIR 2023, Resource Track, 2837-2847, 2023
272023
InstructGraph: Boosting Large Language Models via Graph-centric Instruction Tuning and Preference Alignment
J Wang, J Wu, Y Hou, Y Liu, M Gao, J McAuley
Findings of ACL 2024, 2024
182024
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
S Mu, Y Hou, WX Zhao, Y Li, B Ding
CCIR 2022, 2022
182022
Leveraging Search History for Improving Person-Job Fit
Y Hou, X Pan, WX Zhao, S Bian, Y Song, T Zhang, JR Wen
DASFAA 2022, 2022
172022
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation
C Shang, Y Hou, WX Zhao, Y Li, J Zhang
AI Open, 2023
122023
Neural Graph Matching for Pre-training Graph Neural Networks
Y Hou, B Hu, WX Zhao, Z Zhang, J Zhou, JR Wen
SDM 2022, 2022
112022
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