Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems

Author:

Long Fei1ORCID

Affiliation:

1. School of Economics and Management, Changsha University, Changsha 410003, China

Abstract

With the rapid development of information technology, the information overload has become a very serious problem in web information environment. The personalized recommendation came into being. Current recommending algorithms, however, are facing a series of challenges. To solve the problem of the complex context, a new context recommendation algorithm based on the tripartite graph model is proposed for the three-dimensional model in complex systems. Improving the accuracy of the recommendation by the material diffusion, through the heat conduction to improve the diversity of the recommended objects, and balancing the accuracy and diversity through the integration of resources thus realize the personalized recommendation. The experimental results show that the proposed context recommendation algorithm based on the tripartite graph model is superior to other traditional recommendation algorithms in recommendation performance.

Funder

National Social Science Foundation of China

Publisher

Hindawi Limited

Subject

Multidisciplinary,General Computer Science

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