Ke Ji received his Ph.D. degree from Beijing Jiaotong University, P.R. China, in 2016. He is currently a Lecturer at School of Information Science and Engineering, University of Jinan, P.R. China. Dr. Zhao has published more than 10 peer reviewed papers in high-level international journals and conference proceedings such as Expert Systems with Applications，Knowledge-Based Systems，Neurocomputing, Pacific-Asia Conf. Knowledge Discovery and Data Mining (PAKDD), etc.

    My research interests include machine learning, recommended system and Knowledge Engineering.

1. Ke Ji*, Zhenxiang Chen, Runyuan Sun, Kun Ma, Zhongjie Yuan, Guandong Xu, GIST: A generative model with individual and subgroup-based topics for group recommendation, Expert Systems with Applications, 2018, 94: 81-93.
   
2. Ke Ji, Runyuan Sun*, Xiang Li, Wenhao Shu, Improving matrix approximation for recommendation via a clustering-based reconstructive method, Neurocomputing, 2016, 173: 912-920.
   
3. Ke Ji, Hong Shen*, Jointly modeling content, social network and ratings for explainable and cold-start recommendation, Neurocomputing, 2016, 218: 1-12.
   
4. Ke Ji, Hong Shen*, Addressing cold-start: Scalable recommendation with tags and keywords, Knowledge-Based Systems, 2015, 83: 42-50.
   
5. Ke Ji, Runyuan Sun*, Wenhao Shu, Xiang Li, Next-song recommendation with temporal dynamics, Knowledge-Based Systems, 2015, 88: 134-143.
   
6. Ke Ji, Hong Shen*, Making recommendations from Top-N user-item subgroups, Neurocomputing, 2015, 165: 228-237.
   

• Member, IEEE, IEEE Computer Society, USA
• Member, CCF, P.R.China