Liang Hu
Titolo
Citata da
Citata da
Anno
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
2462013
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
1062018
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
872014
Diversifying Personalized Recommendation with User-session Context
L Hu, L Cao, S Wang, G Xu, J Cao, Z Gu
Twenty-Third International Joint Conference on Artificial Intelligence, 2017
66*2017
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
632013
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
572019
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
392019
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
242016
Perceiving the next choice with comprehensive transaction embeddings for online recommendation
S Wang, L Hu, L Cao
Joint European conference on machine learning and knowledge discovery in …, 2017
222017
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
202019
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
192018
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
162020
Cross-domain collaborative filtering via bilinear multilevel analysis
L Hu, J Cao, G Xu, J Wang, Z Gu, L Cao
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
152013
Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning.
S Wang, L Hu, Y Wang, QZ Sheng, MA Orgun, L Cao
IJCAI, 2333-2339, 2020
142020
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
132017
GEAM: A general and event-related aspects model for Twitter event detection
Y You, G Huang, J Cao, E Chen, J He, Y Zhang, L Hu
International conference on web information systems engineering, 319-332, 2013
132013
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
122018
Deep modeling complex couplings within financial markets
W Cao, L Hu, L Cao
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
122015
A social-aware service recommendation approach for mashup creation
J Cao, W Xu, L Hu, J Wang, M Li
International Journal of Web Services Research (IJWSR) 10 (1), 53-72, 2013
122013
Document similarity analysis via involving both explicit and implicit semantic couplings
Q Chen, L Hu, J Xu, W Liu, L Cao
2015 IEEE International Conference on Data Science and Advanced Analytics …, 2015
112015
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