Yongfeng Zhang
Yongfeng Zhang
Rutgers University, Department of Computer Science
Verified email at rutgers.edu - Homepage
Title
Cited by
Cited by
Year
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
5562014
Explainable recommendation: A survey and new perspectives
Y Zhang, X Chen
Foundations and Trends in Information Retrieval 14 (1), 1-101, 2020
2882020
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
2572018
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
1892017
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
1672018
Learning heterogeneous knowledge base embeddings for explainable recommendation
Q Ai, V Azizi, X Chen, Y Zhang
Algorithms 11 (9), 137, 2018
154*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
1152019
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
1122016
Response ranking with deep matching networks and external knowledge in information-seeking conversation systems
L Yang, M Qiu, C Qu, J Guo, Y Zhang, WB Croft, J Huang, H Chen
The 41st international acm sigir conference on research & development in …, 2018
1092018
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
98*2019
Personalized Key Frame Recommendation
X Chen, Y Zhang, Q Ai, H Xu, J Yan, Z Qin
The 40th International ACM SIGIR Conference on Research and Development in …, 2017
892017
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
862017
Do users rate or review?: Boost phrase-level sentiment labeling with review-level sentiment classification
Y Zhang, H Zhang, M Zhang, Y Liu, S Ma
Proceedings of the 37th international ACM SIGIR conference on Research …, 2014
862014
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
822017
Learning a Hierarchical Embedding Model for Personalized Product Search
Q Ai, Y Zhang, K Bi, X Chen, WB Croft
The 40th International ACM SIGIR Conference on Research and Development in …, 2017
752017
Localized matrix factorization for recommendation based on matrix block diagonal forms
Y Zhang, M Zhang, Y Liu, S Ma, S Feng
Proceedings of the 22nd international conference on World Wide Web, 1511-1520, 2013
742013
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
732019
Daily-aware personalized recommendation based on feature-level time series analysis
Y Zhang, M Zhang, Y Zhang, G Lai, Y Liu, H Zhang, S Ma
Proceedings of the 24th international conference on world wide web, 1373-1383, 2015
692015
Incorporating phrase-level sentiment analysis on textual reviews for personalized recommendation
Y Zhang
Proceedings of the eighth ACM international conference on web search and …, 2015
612015
Dynamic explainable recommendation based on neural attentive models
X Chen, Y Zhang, Z Qin
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 53-60, 2019
602019
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