Shanshan Feng
Shanshan Feng
Senior researcher, Tencent
Verifierad e-postadress på tencent.com
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Personalized ranking metric embedding for next new poi recommendation
S Feng, X Li, Y Zeng, G Cong, YM Chee, Q Yuan
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
2122015
Poi2vec: Geographical latent representation for predicting future visitors
S Feng, G Cong, B An, YM Chee
Thirty-First AAAI Conference on Artificial Intelligence, 2017
772017
Influence maximization with novelty decay in social networks
S Feng, X Chen, G Cong, Y Zeng, YM Chee, Y Xiang
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
282014
Budget-efficient viral video distribution over online social networks: Mining topic-aware influential users
H Hu, Y Wen, S Feng
IEEE Transactions on Circuits and Systems for Video Technology 28 (3), 759-771, 2016
132016
Group recommendations based on comprehensive latent relationship discovery
S Feng, J Cao, J Wang, J He
2016 IEEE International Conference on Web Services (ICWS), 9-16, 2016
112016
Improving group recommendations via detecting comprehensive correlative information
S Feng, J Cao
Multimedia Tools and Applications 76 (1), 1355-1377, 2017
92017
An ensemble learning based approach for building airfare forecast service
Y Chen, J Cao, S Feng, Y Tan
2015 IEEE International Conference on Big Data (Big Data), 964-969, 2015
92015
Inf2vec: Latent representation model for social influence embedding
S Feng, G Cong, A Khan, X Li, Y Liu, YM Chee
2018 IEEE 34th International Conference on Data Engineering (ICDE), 941-952, 2018
82018
Recommendations based on comprehensively exploiting the latent factors hidden in items’ ratings and content
S Feng, J Cao, J Wang, S Qian
ACM Transactions on Knowledge Discovery from Data (TKDD) 11 (3), 1-27, 2017
72017
an Yuan. 2015. Personalized ranking metric embedding for next new POI recommendation
S Feng, X Li, Y Zeng, G Cong, YM Chee
Proceedings of the International Joint Conference on Artificial Intelligence …, 0
5
A novel cascade model for learning latent similarity from heterogeneous sequential data of MOOC
Z Jiang, S Feng, G Cong, C Miao, X Li
Proceedings of the 2017 conference on empirical methods in natural language …, 2017
42017
Merging user social network into the random walk model for better group recommendation
S Feng, H Zhang, J Cao, Y Yao
Applied Intelligence 49 (6), 2046-2058, 2019
32019
Anchor link prediction across attributed networks via network embedding
S Wang, X Li, Y Ye, S Feng, RYK Lau, X Huang, X Du
Entropy 21 (3), 254, 2019
32019
Unsupervised embedding for latent similarity by modeling heterogeneous mooc data
Z Jiang, S Feng, W Chen, G Wang, X Li
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 683-695, 2017
22017
A model for discovering unpopular research interests
S Feng, J Cao, Y Chen, J Qi
International Conference on Knowledge Science, Engineering and Management …, 2015
22015
Leveraging Kernel-Incorporated Matrix Factorization for App Recommendation
C Liu, J Cao, S Feng
ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (3), 1-27, 2019
12019
Detecting the latent associations hidden in multi-source information for better group recommendation
S Feng, H Zhang, L Wang, L Liu, Y Xu
Knowledge-Based Systems 171, 56-68, 2019
12019
Decentralized executions of privacy awareness data analytics workflows in the cloud
Y Yao, J Cao, S Qian, S Feng
Concurrency and Computation: Practice and Experience 31 (15), e5063, 2019
2019
Latent representation models for user sequential mobility and social influence propagation
S Feng
2017
Quality Control Method in Crowdsourcing Platform for Professional Dictionary Compilation Process (PDCCP)
S Feng, X Li, H Ou
International Workshop on Process-Aware Systems, 75-92, 2014
2014
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Artiklar 1–20