A new weighting method in network-based recommendation

Chun-Xiao Jia, Run-Ran Liu, Duo Sun and Bing-Hong Wang

Physica A: Statistical Mechanics and its Applications, 2008, vol. 387, issue 23, 5887-5891

Abstract: In this paper, we propose a influence-based approach to investigate network-based recommendation systems. Different from the previous mass diffusion approach, we give a new expression of initial resource distribution and take into account the influence of resources associated with the receiver nodes. According to ranking score and two measures about the degree of personalization, we demonstrate that our method can outperform the previous methods greatly. It’s found that there exists an optimal initial resource distribution that leads to the best algorithmic accuracy and personalization strength. The optimal initial resource distribution indicates that we should increase the initial resource located on popular objects, rather than decrease them.

Keywords: Weighting method; Recommendation algorithm; Mass diffusion approach; Influence-based approach; Initial resource configuration (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:387:y:2008:i:23:p:5887-5891

DOI: 10.1016/j.physa.2008.06.046

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