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一种基于社交网络舆论影响的推荐算法

李霞 李守伟

计算机应用与软件2017,Vol.34Issue(1):275-280,6.
计算机应用与软件2017,Vol.34Issue(1):275-280,6.DOI:10.3969/j.issn.1000-386x.2017.01.050

一种基于社交网络舆论影响的推荐算法

A RECOMMENDATION ALGORITHM BASED ON THE INFLUENCE OF SOCIAL NETWORK OPINIONS

李霞 1李守伟2

作者信息

  • 1. 滨州医学院网络信息中心 山东滨州256603
  • 2. 江苏大学管理学院 江苏镇江212013
  • 折叠

摘要

Abstract

The trust among friends is an important factor that affects users making decision in social network.Based on the topology of social network and trust degree of neighbor node, the recommendation system is constructed in this paper, and the recommendation algorithm is also presented.Then, some theoretical analysis and simulations have also been made out.The results show that the topology and trust degree in social network will have a great impact on user's anticipation for product during the process of social communication.The mount of recommender for single product in social network varies with time by following S-curve and the rank of recommended products obeys the power-law distribution with cut-off tail.This research not only analyzes the forming mechanism of user's anticipate, but also to some extent enhances the efficiency of recommendation by using the recommendation algorithm.

关键词

社交网络/网络舆论/信任度/推荐算法

Key words

Social network/Network opinion/Trust degree/Recommendation algorithm

分类

信息技术与安全科学

引用本文复制引用

李霞,李守伟..一种基于社交网络舆论影响的推荐算法[J].计算机应用与软件,2017,34(1):275-280,6.

基金项目

山东省科技发展计划项目(2013YD08 003). (2013YD08 003)

计算机应用与软件

OA北大核心CSTPCD

1000-386X

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