学术报告(王军辉 9.25)

Recommender systems

发布人:周妍 发布日期:2018-09-14
主题
Recommender systems
活动时间
-
活动地址
新数学楼416报告厅
主讲人
王军辉 教授 香港城市大学

摘 要:

In recent years, there has been a growing demand for ecient recommender systems which track users preferences and recommend potential items of interest to users. In this talk, I will give a brief review about recommender systems, including its problem setup and challenges. Some existing approaches will be discussed in details, such as collaborative ltering, content-based ltering, matrix completion, and hybrid systems. I will also present a few recent developments to tackle the so-called cold start problem by incorporating covariate information including user proles and social networks. If time permits, some asymptotic results will also be discussed.

欢迎广大师生参加!

 

华南统计科学研究中心

2018/9/12