Recommendations based on network analysis

Xue Li*, Ling Chen

*此作品的通信作者

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Most recommendations are made based on the computation of user specified constraints or functions of object similarity. In this paper, we discuss a new trend of recommender systems that are based on the information network analysis to exploit the relationships between data objects. An information network can be constructed from different application networks such as social media, traffic management systems, and sensor networks. Heterogeneous information networks are now ubiquitous. How to make recommendations for the evidence-based decisions based on the fusion of these information networks presents a challenge. We present a framework of recommendations based on information network analysis. The practical examples are used to demonstrate the potential of this type of recommendation techniques. The evaluation methodologies for network-base recommendations are also addressed.

原文English
主出版物標題ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings
頁面9-15
頁數7
出版狀態Published - 17 12月 2011
事件2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011 - Jakarta, Indonesia
持續時間: 17 12月 201118 12月 2011

出版系列

名字ICACSIS 2011 - 2011 International Conference on Advanced Computer Science and Information Systems, Proceedings

Conference

Conference2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011
國家/地區Indonesia
城市Jakarta
期間17/12/1118/12/11

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