基于用户兴趣和推荐信任域的微博推荐

徐雅斌; 刘超; 武装

doi:10.11959/j.issn.1000-0801.2015042

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基于用户兴趣和推荐信任域的微博推荐

研究与开发 | 更新时间：2024-06-05

- 基于用户兴趣和推荐信任域的微博推荐
- Micro-Blog Recommendation Based on User Interests and Recommendation Trust Domain
- 电信科学 2015年31卷第1期页码：7-14
- 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：
  
  [ "徐雅斌，男，北京信息科技大学教授、系主任，主要研究方向为社交网络、未来网络。" ]
  [ "刘超，男，北京信息科技大学硕士生，主要研究方向为社交网络。" ]
  [ "武装，男，博士，北京信息科技大学教授，主要研究方向为社交网络、未来网络。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61370139);网络文化与数字传播北京市重点实验室基金资助项目;Beijing Key Laboratory of Internet Culture and Digital Dissemination Research(ICDD201309);北京市属高等学校创新团队建设与教师职业发展计划基金资助项目;The Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality(IDHT20130519)
- DOI：10.11959/j.issn.1000-0801.2015042
  中图分类号：
- 网络出版日期：2015-01，
  
  纸质出版日期：2015-01-20
- 稿件说明：
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徐雅斌, 刘超, 武装. 基于用户兴趣和推荐信任域的微博推荐[J]. 电信科学, 2015,31(1):7-14.

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.
徐雅斌, 刘超, 武装. 基于用户兴趣和推荐信任域的微博推荐[J]. 电信科学, 2015,31(1):7-14. DOI： 10.11959/j.issn.1000-0801.2015042.

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.

关键词

Keywords

references

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