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Yongfeng Zhang
Yongfeng Zhang
Professor of Computer Science, Rutgers University
Verified email at rutgers.edu - Homepage
Title
Cited by
Cited by
Year
Explainable recommendation: A survey and new perspectives
Y Zhang, X Chen
Foundations and Trends® in Information Retrieval 14 (1), 1-101, 2020
10942020
Explicit factor models for explainable recommendation based on phrase-level sentiment analysis
Y Zhang, G Lai, M Zhang, Y Zhang, Y Liu, S Ma
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
9772014
Clip-adapter: Better vision-language models with feature adapters
P Gao, S Geng, R Zhang, T Ma, R Fang, Y Zhang, H Li, Y Qiao
International Journal of Computer Vision 132 (2), 581-595, 2024
8092024
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
574*2018
Reinforcement knowledge graph reasoning for explainable recommendation
Y Xian, Z Fu, S Muthukrishnan, G De Melo, Y Zhang
Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019
5552019
Sequential recommendation with user memory networks
X Chen, H Xu, Y Zhang, J Tang, Y Cao, Z Qin, H Zha
Proceedings of the eleventh ACM international conference on web search and …, 2018
5552018
Towards conversational search and recommendation: System ask, user respond
Y Zhang, X Chen, Q Ai, L Yang, WB Croft
Proceedings of the 27th acm international conference on information and …, 2018
4322018
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
S Geng, S Liu, Z Fu, Y Ge, Y Zhang
Proceedings of the 16th ACM Conference on Recommender Systems, 2022
4072022
Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources
Y Zhang, Q Ai, X Chen, WB Croft
The 26th ACM International Conference on Information and Knowledge Management, 2017
3382017
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation
X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin, H Zha
Proceedings of the 42nd International ACM SIGIR Conference on Research and …, 2019
337*2019
BERT with history answer embedding for conversational question answering
C Qu, L Yang, M Qiu, WB Croft, Y Zhang, M Iyyer
Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019
2732019
User-oriented fairness in recommendation
Y Li, H Chen, Z Fu, Y Ge, Y Zhang
Proceedings of the web conference 2021, 624-632, 2021
2532021
Fairness-aware explainable recommendation over knowledge graphs
Z Fu, Y Xian, R Gao, J Zhao, Q Huang, Y Ge, S Xu, S Geng, C Shah, ...
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
2472020
Towards Long-term Fairness in Recommendation
Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ...
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
2232021
Efficient neural matrix factorization without sampling for recommendation
C Chen, M Zhang, Y Zhang, Y Liu, S Ma
ACM Transactions on Information Systems (TOIS) 38 (2), 1-28, 2020
2182020
Fairness-Aware Group Recommendation with Pareto Efficiency
X Lin, M Zhang, Y Zhang, Z Gu, Y Liu, S Ma
Proceedings of the 11th ACM Conference on Recommender Systems, 2017
2062017
Detecting stress based on social interactions in social networks
H Lin, J Jia, J Qiu, Y Zhang, G Shen, L Xie, J Tang, L Feng, TS Chua
IEEE Transactions on Knowledge and Data Engineering 29 (9), 1820-1833, 2017
1902017
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
1862019
Learning to rank features for recommendation over multiple categories
X Chen, Z Qin, Y Zhang, T Xu
Proceedings of the 39th International ACM SIGIR conference on Research and …, 2016
1832016
Personalized re-ranking for recommendation
C Pei, Y Zhang, Y Zhang, F Sun, X Lin, H Sun, J Wu, P Jiang, J Ge, W Ou, ...
Proceedings of the 13th ACM conference on recommender systems, 3-11, 2019
1782019
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Articles 1–20