Wei Zeng
TitoloCitata daAnno
Can dissimilar users contribute to accuracy and diversity of personalized recommendation?
W Zeng, MS Shang, QM Zhang, L L, T Zhou
International Journal of Modern Physics C 21 (10), 1217-1227, 2010
Relevance is more significant than correlation: Information filtering on sparse data
MS Shang, L L, W Zeng, YC Zhang, T Zhou
EPL (Europhysics Letters) 88 (6), 68008, 2010
Uncovering the information core in recommender systems
W Zeng, A Zeng, H Liu, MS Shang, T Zhou
Scientific Report 4, 6140, 2014
Negative ratings play a positive role in information filtering
W Zeng, YX Zhu, L L, T Zhou
Physica A: Statistical Mechanics and its Applications 390 (23-24), 4486-4493, 2011
A unified framework for recommending items, groups and friends in social media environment via mutual resource fusion
L Chen, W Zeng, Q Yuan
Expert systems with applications 40 (8), 2889-2903, 2013
Information filtering in sparse online systems: recommendation via semi-local diffusion
W Zeng, A Zeng, MS Shang, YC Zhang
PloS one 8 (11), 2013
Empirical comparison of local structural similarity indices for collaborative-filtering-based recommender systems
QM Zhang, MS Shang, W Zeng, Y Chen, L L
Physics Procedia 3 (5), 1887-1896, 2010
Heterogeneous data fusion via matrix factorization for augmenting item, group and friend recommendations
W Zeng, L Chen
Proceedings of the 28th annual ACM symposium on applied computing, 237-244, 2013
Similarity from multi-dimensional scaling: Solving the accuracy and diversity dilemma in information filtering
W Zeng, A Zeng, H Liu, MS Shang, YC Zhang
PloS one 9 (10), 2014
Synchronization-inspired co-clustering and its application to gene expression data
J Shao, C Gao, W Zeng, J Song, Q Yang
2017 IEEE International Conference on Data Mining (ICDM), 1075-1080, 2017
Effects of negative ratings on personalized recommendation
W Zeng, MS Shang
2010 5th International Conference on Computer Science & Education, 375-379, 2010
Uncovering the essential links in online commercial networks
W Zeng, M Fang, J Shao, M Shang
Scientific reports 6, 34292, 2016
Membership in social networks and the application in information filtering
W Zeng, A Zeng, MS Shang, YC Zhang
Eur. Phys. J. B 86, 375, 2013
Recommending interest groups to social media users by incorporating heterogeneous resources
W Zeng, L Chen
International Conference on Industrial, Engineering and Other Applications…, 2013
The effect of rating variance on personalized recommendation
YX Zhu, W Zeng, QM Zhang
2010 5th International Conference on Computer Science & Education, 366-370, 2010
Useful acquiring ratings for collaborative filtering
W Zeng, MS Shang, TY Qian
2009 IEEE Youth Conference on Information, Computing and Telecommunication…, 2009
曾伟, 孔新川, 陈威, 周涛
大数据 1 (2), 2015024, 2015
Preference Modeling by Exploiting Latent Components of Ratings
J Chen, W Zeng, J Shao, G Fan
Knowledge and Information Systems, 1-27, 2018
A collaborative filtering model with heterogeneous neural networks for recommender systems
G Fan, W Zeng, S Sun, W Wang, W Liu
arXiv preprint arXiv:1905.11133, 2019
A Price Driven Hazard Approach to User Retention
J Chen, W Zeng, G Fan, J Shao
arXiv preprint arXiv:1710.07071, 2017
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