Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain

Yabin Xu; Chao Liu; Zhuang Wu

doi:10.11959/j.issn.1000-0801.2015042

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Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain

research and development | 更新时间：2024-06-05

- Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain
- Telecommunications Science Vol. 31, Issue 1, Pages: 7-14(2015)
- 作者机构：
  
  1. 北京信息科技大学计算机学院北京 100101
  2. 网络文化与数字传播北京市重点实验室北京 100101
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2015042
  CLC：
- Published Online：2015-01，
  
  Published：20 January 2015
- 稿件说明：
移动端阅览
Yabin Xu, Chao Liu, Zhuang Wu. Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain[J]. Telecommunications science, 2015, 31(1): 7-14.
DOI：

Yabin Xu, Chao Liu, Zhuang Wu. Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain[J]. Telecommunications science, 2015, 31(1): 7-14. DOI： 10.11959/j.issn.1000-0801.2015042.

摘要

向用户推荐其感兴趣的微博，是改善用户体验的重要途径。为使推荐的微博更加符合用户的兴趣和品味，提出的微博推荐方法不仅考虑用户自身的特点，而且还考虑所在社区对微博的评价。在技术实现上，采用支持向量机进行文本分类，以便发现用户的兴趣偏好；通过多维Newman算法进行用户社区的发现，并将社区视为推荐信任域。最后采用改进的协同过滤算法综合用户兴趣偏好和推荐信任域进行微博推荐，以此提高微博推荐的质量。实验结果表明，提出的微博推荐方法是切实有效的。

Abstract

Recommending micro-blogs to users whom are interested in is an important way to improve the user's experience. In order to make the recommended micro-blog more match user's interests and tastes

a micro-blog recommendation method was proposed. The method considers not only user's own characteristics

but also the evaluation from the user's community. In technology

vector machine（SVM）was supported for text classification to discover user interests

and through multidimensional Newman algorithm to discover user's community. This community will be regarded as the recommendation trust domain. Finally

the improved collaborative filtering algorithm was used. It integrated user's interests and recommendation trust domain to recommend micro-blog

in order to improve the quality of micro-blog recommendation. The experimental results show that

the micro-blog recommendation method is practical and effective.

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references

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