太赫兹科学与电子信息学报2019，Vol.17Issue(3)：502-508,7.DOI:10.11805/TKYDA201903.0502
基于深度学习与社交感知的地点推荐
Deep learning based social-aware location recommendation
WANG Lei1 1GAO Chen2 2ZHOU Bei2 2LI Yong22
作者信息
- 1. Tianjin Municipal People's Procuratorate，Tianjin 300222，China
- 2. Department of Electronic Engineering，Tsinghua University，Beijing 100084，China
- 折叠
摘要
Abstract
With the development of location based social network, location recommendation, a typical recommender system, plays a more and more significant role in addressing data overloading, enhancing user engagement and improving platforms’ profit. Most existing researches on location recommendation are based on matrix factorization, which cannot capture the complicated relation between users and locations. In addition, in location based social network, social relation data is important for building user demographics, and therefore it becomes a major concern that how to combine social relation data to help improving recommendation quality. In this paper, a location recommendation approach based on deep learning is studied. By designing two novel designs, a social-aware sampler and a social-enhanced regularizer, the social information is integrated. Extensive experiments on two real-world datasets demonstrate that the proposed methods can significantly improve the recommendation accuracy compared with existing models.关键词
地点推荐/社交网络/深度学习Key words
location recommendation；social network；deep learning分类
信息技术与安全科学引用本文复制引用
WANG Lei1,GAO Chen2,ZHOU Bei2,LI Yong2..基于深度学习与社交感知的地点推荐[J].太赫兹科学与电子信息学报,2019,17(3):502-508,7.
