国内社会化推荐研究进展:架构与应用

Research Progress on Socialized Recommendation in China : Framework and Application

文章用内容分析法归纳了191篇文献内容,揭示了社会化推荐内涵、核心内容及研究框架,并从推荐模型与机理、系统实现与领域应用两方面阐述了国内社会化推荐研究进展。推荐模型与机理主要研究体系结构、功能模块、推荐流程,体系结构多为B/S结构,功能模块研究按用户生成内容分基于社会化标签推荐、基于信任网络推荐、基于位置推荐三类,推荐流程多为数据采集及预处理、用户兴趣建模、推荐生成;系统实现研究集中于基于社会化标签推荐系统;应用集中于社会化媒体、电子商务、知识管理、教育等领域。

Using the content analysis method,the authors sumed up the contents of the 191 articles,revealed the connotation,core content and research framework of social recommendation,and introduced its research development in China from the aspects of recommendation model and mechanism,system implementation and field application.Recommendation model and mechanism are mainly used to study the architecture.Function modules and recommendation process.Architecture is mostly B/S structure.Function modules research is divided into three categories according to user generated content:social tagging-based recommendation,trust network-based recommendation and location-based recommendation,and recom-mendation process Includes data acquisition and preprocessing,user interest modeling and recommendation generation.System implementation research concentrates on social tagging-based recommendation system,while application focuses on social media,e-commerce,knowledge management,education and other fields.