基于用户兴趣和推荐信任域的微博推荐

doi:10.11959/j.issn.1000-0801.2015042

电信科学 ›› 2015, Vol. 31 ›› Issue (1): 7-14.doi: 10.11959/j.issn.1000-0801.2015042

基于用户兴趣和推荐信任域的微博推荐

徐雅斌^1,²,刘超¹,武装¹

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

出版日期:2015-01-15 发布日期:2017-02-21
基金资助:
国家自然科学基金资助项目;网络文化与数字传播北京市重点实验室基金资助项目;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

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

Yabin Xu^1,²,Chao Liu¹,Zhuang Wu¹

¹ School of Computer, Beijing Information Science ＆ Technology University, Beijing 100101, China
² Beijing Key Laboratory of Internet Culture and Digital Dissemination Research, Beijing 100101, China

Online:2015-01-15 Published:2017-02-21
Supported by:
The National Natural Science Foundation of China;Beijing Key Laboratory of Internet Culture and Digital Dissemination Research;The Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality

摘要/Abstract

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。

关键词: 微博推荐, 协同过滤, 推荐信任域, 用户兴趣发现

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.

Key words: micro-blog recommendation, collaborative filtering, recommendation trust domain, user interest discovery

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.

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	主题类别
体育		娱乐
科技		财经
军事		时尚
旅游		社会

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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

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