Penghua Yu

According to our database, Penghua Yu authored at least 10 papers between 2013 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

A novel framework to alleviate the sparsity problem in context-aware recommender systems.

Penghua Yu, Lanfen Lin, Jing Wang

New Rev. Hypermedia Multim., 2017

A novel confidence estimation method for heterogeneous implicit feedback.

Jing Wang, Lanfen Lin, Heng Zhang, Jiaqi Tu, Penghua Yu

Frontiers Inf. Technol. Electron. Eng., 2017

2016

A Novel Framework to Process the Quantity and Quality of User Behavior Data in Recommender Systems.

Penghua Yu, Lanfen Lin, Yuangang Yao

Proceedings of the Web-Age Information Management - 17th International Conference, 2016

SeBPR: Semantics Enhanced Bayesian Personalized Ranking with Comparable Item Pairs.

Penghua Yu, Lanfen Lin

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Human Factors Based Partitioning Versus Data Clustering for Recommendations.

Penghua Yu, Lanfen Lin, Zeyang Li

Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

User Preference Quantity versus Recommendation Performance: A Preliminary Study.

Penghua Yu, Lanfen Lin, Jing Wang

Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014

Improving Recommendations with Collaborative Factors.

Penghua Yu, Lanfen Lin, Feng Wang, Jing Wang, Meng Wang

Proceedings of the Web-Age Information Management - 15th International Conference, 2014

A unified latent factor correction scheme for collaborative filtering.

Penghua Yu, Lanfen Lin, Ruisong Wang, Jing Wang, Feng Wang

Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013

Improving Short Text Classification Using Public Search Engines.

Meng Wang, Lanfen Lin, Jing Wang, Penghua Yu, Jiaolong Liu, Fei Xie

Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2013

Extracting Novel Features for E-Commerce Page Quality Classification.

Jing Wang, Lanfen Lin, Feng Wang, Penghua Yu, Jiaolong Liu, Xiaowei Zhu

Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013