Ye-Zheng Liu

According to our database1, Ye-Zheng Liu authored at least 30 papers between 2007 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.



In proceedings 
PhD thesis 




Topic-based hierarchical Bayesian linear regression models for niche items recommendation.
J. Inf. Sci., 2019

Identifying social roles using heterogeneous features in online social networks.
JASIST, 2019

Impact of social commerce constructs and social support on social commerce intentions.
IT & People, 2019

Service matchmaking for Internet of Things based on probabilistic topic model.
Future Generation Comp. Syst., 2019

Cloud service recommendation based on unstructured textual information.
Future Generation Comp. Syst., 2019

Understanding Patients' WOM of IT-Enabled Healthcare Service: A Case Study of Online Health Consultation.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Purchase Prediction Based on a Non-parametric Bayesian Method.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Group recommendation based on a bidirectional tensor factorization model.
World Wide Web, 2018

Collaborative matrix factorization mechanism for group recommendation in big data-based library systems.
Library Hi Tech, 2018

A hybrid approach for article recommendation in research social networks.
J. Inf. Sci., 2018

Identifying impact of intrinsic factors on topic preferences in online social media: A nonparametric hierarchical Bayesian approach.
Inf. Sci., 2018

A crowdsourcing-based topic model for service matchmaking in Internet of Things.
Future Generation Comp. Syst., 2018

Optimizing online recurring promotions for dual-channel retailers: Segmented markets with multiple objectives.
European Journal of Operational Research, 2018

Generative Adversarial Active Learning for Unsupervised Outlier Detection.
CoRR, 2018

An Evolution Model of Group Opinions Based on Social Judgment Theory (August 2018).
IEEE Access, 2018

A Bayesian Personalized Ranking Algorithm Based on Tag Preference.
Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Mining Product Relationships for Recommendation Based on Cloud Service Data.
Proceedings of the Business Process Management Workshops, 2018

PT-LDA: A latent variable model to predict personality traits of social network users.
Neurocomputing, 2016

Identifying social influence in complex networks: A novel conductance eigenvector centrality model.
Neurocomputing, 2016

Diversified Recommendation Incorporating Item Content Information Based on MOEA/D.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Clustering Product Features of Online Reviews Based on Nonnegative Matrix Tri-factorizations.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

Utilize Item Correlation to Improve Aggregate Diversity for Recommender Systems.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

A Novel APPs Recommendation Algorithm Based on APPs Popularity and User Behaviors.
Proceedings of the IEEE First International Conference on Data Science in Cyberspace, 2016

User Role Analysis in Online Social Networks Based on Dirichlet Process Mixture Models.
Proceedings of the International Conference on Advanced Cloud and Big Data, 2016

Optimization of Online Promotion: a Profit-Maximizing Model Integrating Price discount and Product Recommendation.
International Journal of Information Technology and Decision Making, 2012

Optimizing E-tailer Profits and Customer Savings: Pricing Multistage Customized Online Bundles.
Marketing Science, 2011

Integrating classification capability and reliability in associative classification: A beta-stronger model.
Expert Syst. Appl., 2010

Maximizing customer satisfaction through an online recommendation system: A novel associative classification model.
Decision Support Systems, 2010

CSMC: A combination strategy for multi-class classification based on multiple association rules.
Knowl.-Based Syst., 2008

Constructing Associative Classifier Using Rough Sets and Evidence Theory.
Proceedings of the Rough Sets, 2007