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Liang Hu
Liang Hu
Tongji University & Deepblue Academy of Sciences
在 tongji.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Sequential recommender systems: challenges, progress and prospects
S Wang, L Hu, Y Wang, L Cao, QZ Sheng, M Orgun
arXiv preprint arXiv:2001.04830, 2019
3502019
Personalized recommendation via cross-domain triadic factorization
L Hu, J Cao, G Xu, L Cao, Z Gu, C Zhu
Proceedings of the 22nd international conference on World Wide Web, 595-606, 2013
3252013
Attention-based transactional context embedding for next-item recommendation
S Wang, L Hu, L Cao, X Huang, D Lian, W Liu
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
2362018
Graph learning based recommender systems: A review
S Wang, L Hu, Y Wang, X He, QZ Sheng, MA Orgun, L Cao, F Ricci, ...
arXiv preprint arXiv:2105.06339, 2021
1502021
Diversifying Personalized Recommendation with User-session Context.
L Hu, L Cao, S Wang, G Xu, J Cao, Z Gu
IJCAI, 1858-1864, 2017
1252017
Deep modeling of group preferences for group-based recommendation
L Hu, J Cao, G Xu, L Cao, Z Gu, W Cao
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
1232014
Modeling multi-purpose sessions for next-item recommendations via mixture-channel purpose routing networks
S Wang, L Hu, Y Wang, QZ Sheng, M Orgun, L Cao
International Joint Conference on Artificial Intelligence, 2019
1222019
A social-aware service recommendation approach for mashup creation
W Xu, J Cao, L Hu, J Wang, M Li
2013 ieee 20th international conference on web services, 107-114, 2013
852013
HERS: Modeling influential contexts with heterogeneous relations for sparse and cold-start recommendation
L Hu, S Jian, L Cao, Z Gu, Q Chen, A Amirbekyan
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3830-3837, 2019
662019
Intention nets: psychology-inspired user choice behavior modeling for next-basket prediction
S Wang, L Hu, Y Wang, QZ Sheng, M Orgun, L Cao
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6259-6266, 2020
492020
Perceiving the next choice with comprehensive transaction embeddings for online recommendation
S Wang, L Hu, L Cao
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017
442017
Intention2basket: A neural intention-driven approach for dynamic next-basket planning
S Wang, L Hu, Y Wang, QZ Sheng, M Orgun, L Cao
Twenty-Ninth International Joint Conference on Artificial Intelligence and …, 2020
422020
Learning informative priors from heterogeneous domains to improve recommendation in cold-start user domains
L Hu, L Cao, J Cao, Z Gu, G Xu, D Yang
ACM Transactions on Information Systems (TOIS) 35 (2), 1-37, 2016
372016
Graph learning approaches to recommender systems: A review
S Wang, L Hu, Y Wang, X He, QZ Sheng, M Orgun, L Cao, N Wang, ...
arXiv preprint arXiv:2004.11718, 2020
352020
Interpretable recommendation via attraction modeling: Learning multilevel attractiveness over multimodal movie contents
L Hu, S Jian, L Cao, Q Chen
IJCAI International Joint Conference on Artificial Intelligence, 2018
332018
Hierarchical attentive transaction embedding with intra-and inter-transaction dependencies for next-item recommendation
S Wang, L Cao, L Hu, S Berkovsky, X Huang, L Xiao, W Lu
IEEE Intelligent Systems 36 (4), 56-64, 2020
292020
The Era of Intelligent Recommendation: Editorial on Intelligent Recommendation with Advanced AI and Learning.
S Wang, G Pasi, L Hu, L Cao
IEEE Intell. Syst. 35 (5), 3-6, 2020
272020
Improving the quality of recommendations for users and items in the tail of distribution
L Hu, L Cao, J Cao, Z Gu, G Xu, J Wang
ACM Transactions on Information Systems (TOIS) 35 (3), 1-37, 2017
252017
Deep modeling complex couplings within financial markets
W Cao, L Hu, L Cao
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
252015
Metric-based auto-instructor for learning mixed data representation
S Jian, L Hu, L Cao, K Lu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
222018
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