| 基于社区发现及主题分析的微博用户推荐 |
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| 引用本文： | 余紫丹,虞慧群. 基于社区发现及主题分析的微博用户推荐[J]. 医学教育探索, 2014, 0(6): 763-768 |
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| 作者姓名： | 余紫丹 虞慧群 |
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| 作者单位： | 1. 华东理工大学计算机科学与工程系, 上海 200237； 2. 上海市计算机软件评测重点实验室, 上海 201112;华东理工大学计算机科学与工程系, 上海 200237 |
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| 基金项目： | 国家自然科学基金（61173048） |
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| 摘 要： | 在现行的几种好友推荐机制基础上，考虑社交网络的信任传播因素，设计了一种推荐模型。提出一种先基于信任度发现社区，再通过主题分析计算用户相似度的两阶段推荐方法。旨在向用户推荐其感兴趣的潜在好友，帮助用户扩大其朋友圈，进而提高用户黏性。
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| 关 键 词： | 微博； 社区发现； 主题分析； 好友推荐； 信任度 |
| 修稿时间： | 2013-12-17 |
Micro-Blog User Recommendation Based on Community Discovery and Topic Analysis |
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| YU Zi-dan and YU Hui-qun. Micro-Blog User Recommendation Based on Community Discovery and Topic Analysis[J]. Researches in Medical Education, 2014, 0(6): 763-768 |
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| Authors: | YU Zi-dan and YU Hui-qun |
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| Affiliation: | 1. Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China; 2. Shanghai Key Laboratory of Computer Software Evaluating and Testing, Shanghai 201112, China;1. Department of Computer Science and Engineering, East China University of Science and Technology, Shanghai 200237, China |
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| Abstract: | By considering several existing friend recommendation algorithms and trust transmission factors in social networks, this paper proposed a recommendation model, i.e., two stage recommendation method. This algorithm firstly considered the trust degree to discover the community, and then, computed the user's topic similarity via topic analysis. The objective of the proposed algorithm was to recommending the potential friends to a user who was interested in, so as to enlarge the circle of friends and enhance user stickness accordingly. |
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| Keywords: | micro blog community discovery topic analysis user recommendation trust degree |
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