主 题: Recommender system incorporating social network information
内容简介: We propose the so-called NetRec method in recommender system by incorporating the network information into collaborative filtering (CF). This results in a sharper error bound than previous literature under reasonable assumptions. It is also shown that the combination of the network-related penalty and the nuclear norm penalty gives better estimates than those achieved by any of them alone. The method has been shown to work well in simulations and some real data sets on Yelp.
报告人: 荆炳义 教授
时 间: 2018-12-28 11:00
地 点: 竞慧东楼302
举办单位: 统计与数学学院 统计科学与大数据研究院 科研部
