论文信息 - Research Progress and Development Trend Evolution of Recommendation System

Research Progress and Development Trend Evolution of Recommendation System

Based on CNKI and Web of Science, this paper uses the methods of bibliometric, social network analysis, Co-word Analysis and data visualization to analyze the trends in the volume of publications, the organization, high-frequency keywords and their relevance, and explore the research hotspots and development trends in this field. Through the analysis of the development process of foreign research, we can find the change in international influence of domestic research.

Zhang Jian | Jia Zhiqin

[1] John Riedl,et al. GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[2] Steffen Rendle,et al. Factorization Machines , 2010, 2010 IEEE International Conference on Data Mining.

[3] Jie Lu,et al. A semantic enhanced hybrid recommendation approach: A case study of e-Government tourism service recommendation system , 2015, Decis. Support Syst..

[4] John Scott. Social Network Analysis , 1988 .

[5] Mehrnoush Shamsfard,et al. Matrix Factorization with Explicit Trust and Distrust Side Information for Improved Social Recommendation , 2014, TOIS.

[6] Douglas B. Terry,et al. Using collaborative filtering to weave an information tapestry , 1992, CACM.