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Pan Li
Pan Li
Assistant Professor, Scheller College of Business, Georgia Institute of Technology
Verified email at gatech.edu - Homepage
Title
Cited by
Cited by
Year
Ddtcdr: Deep dual transfer cross domain recommendation
P Li, A Tuzhilin
Proceedings of the 13th International Conference on Web Search and Data …, 2020
2122020
Person-job fit: Adapting the right talent for the right job with joint representation learning
C Zhu, H Zhu, H Xiong, C Ma, F Xie, P Ding, P Li
ACM Transactions on Management Information Systems (TMIS) 9 (3), 1-17, 2018
1422018
Measuring the popularity of job skills in recruitment market: A multi-criteria approach
T Xu, H Zhu, C Zhu, P Li, H Xiong
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
772018
Dual metric learning for effective and efficient cross-domain recommendations
P Li, A Tuzhilin
IEEE Transactions on Knowledge and Data Engineering 35 (1), 321-334, 2021
392021
PURS: Personalized unexpected recommender system for improving user satisfaction
P Li, M Que, Z Jiang, Y Hu, A Tuzhilin
Proceedings of the 14th ACM Conference on Recommender Systems, 279-288, 2020
39*2020
Dual attentive sequential learning for cross-domain click-through rate prediction
P Li, Z Jiang, M Que, Y Hu, A Tuzhilin
Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021
362021
Towards Controllable and Personalized Review Generation
P Li, A Tuzhilin
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
302019
Latent multi-criteria ratings for recommendations
P Li, A Tuzhilin
Proceedings of the 13th ACM Conference on Recommender Systems, 428-431, 2019
212019
Latent unexpected recommendations
P Li, A Tuzhilin
ACM Transactions on Intelligent Systems and Technology (TIST) 11 (6), 1-25, 2020
102020
Learning latent multi-criteria ratings from user reviews for recommendations
P Li, A Tuzhilin
IEEE Transactions on Knowledge and Data Engineering 34 (8), 3854-3866, 2020
92020
Latent Modeling of Unexpectedness for Recommendations.
P Li, A Tuzhilin
RecSys (late-breaking results), 36-40, 2019
72019
Prompt tuning large language models on personalized aspect extraction for recommendations
P Li, Y Wang, EH Chi, M Chen
arXiv preprint arXiv:2306.01475, 2023
42023
Adversarial Learning for Cross Domain Recommendations
P Li, B Brost, A Tuzhilin
ACM Transactions on Intelligent Systems and Technology 14 (1), 1-25, 2022
42022
Leveraging Multi-Faceted User Preferences for Improving Click-Through Rate Predictions
P Li
Proceedings of the 15th ACM Conference on Recommender Systems, 864-868, 2021
42021
Latent Unexpected and Useful Recommendation
P Li, A Tuzhilin
arXiv preprint arXiv:1905.01546, 2019
42019
Deep multi-objective multi-stakeholder music recommendation
M Unger, P Li, MC Cohen, B Brost, A Tuzhilin
NYU Stern School of Business Forthcoming, 2021
32021
When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems
P Li, A Tuzhilin
Information Systems Research, 2023
12023
Dual contrastive learning for efficient static feature representation in sequential recommendations
P Li, M Que, A Tuzhilin
IEEE Transactions on Knowledge and Data Engineering, 2023
12023
Hybrid Utility Function for Unexpected Recommendations
P Li
Proceedings of the 13th International Conference on Web Search and Data …, 2020
12020
Hierarchical Reinforcement Learning for Modeling User Novelty-Seeking Intent in Recommender Systems
P Li, Y Wang, EH Chi, M Chen
arXiv preprint arXiv:2306.01476, 2023
2023
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