Liang Hu
Title
Cited by
Cited by
Year
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
1982013
Deep modeling of group preferences for group-based recommendation
L Hu, J Cao, G Xu, L Cao, Z Gu, W Cao
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
662014
Attention-based transactional context embedding for next-item recommendation
S Wang, L Hu, L Cao, X Huang, D Lian, W Liu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
592018
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
542013
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
36*2017
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
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
142016
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
122018
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
102017
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
92013
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
82017
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
82015
Deep modeling complex couplings within financial markets
W Cao, L Hu, L Cao
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
82015
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
82013
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, 3830-3837, 2019
72019
Modeling semantic web service using semantic templates
L Hu, J Cao, Z Gu
2008 Fourth International Conference on Semantics, Knowledge and Grid, 165-172, 2008
72008
Metric-based auto-instructor for learning mixed data representation
S Jian, L Hu, L Cao, K Lu
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
62018
Fastpm: An approach to pattern matching via distributed stream processing
D Yang, J Guo, ZJ Wang, Y Wang, J Zhang, L Hu, J Yin, J Cao
Information Sciences 453, 263-280, 2018
52018
Bayesian heteroskedastic choice modeling on non-identically distributed linkages
L Hu, W Cao, J Cao, G Xu, L Cao, Z Gu
2014 IEEE International Conference on Data Mining, 851-856, 2014
52014
Book Recommendation Based on Joint Multi-relational Model
Q Shangguan, L Hu, J Cao, G Xu
2012 Second International Conference on Cloud and Green Computing, 523-530, 2012
32012
The system can't perform the operation now. Try again later.
Articles 1–20