| 结合本体与社会化标签的用户动态兴趣建模研究 |
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| 引用本文： | 李媛媛,李旭晖.结合本体与社会化标签的用户动态兴趣建模研究[J].情报学报,2020,39(4):436-449. |
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| 作者姓名： | 李媛媛 李旭晖 |
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| 作者单位： | 武汉大学信息管理学院,武汉 430072;武汉大学信息管理学院,武汉 430072 |
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| 基金项目： | 国家自然科学基金重大研究计划“大数据驱动的管理与决策研究”重点支持项目“基于知识关联的金融大数据价值分析、发现及协同创造机制”(91646206);教育部人文社会科学重点研究基地重大项目“大数据资源的语义表示与组织研究——面向文化遗产领域”(16JJD870002)。 |
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| 摘 要： | 以博客、即时通讯、社会网络、社群共享、社会化标注等为代表的Web 2.0应用技术,使用户、信息、资源构成关系紧密的web网络。目前将本体应用到社会化标签用户动态兴趣的研究资料极为稀少,尚无法满足平台对用户兴趣精准把控的需求。本研究从此角度出发,探讨兴趣模型的构建方法。在《中国分类主题词表》和《中国图书馆分类法》对词语的约束规则和关系定义的基础上,构建豆瓣读书用户的兴趣标签本体;并根据再现率、覆盖度、热度率指标对标签的兴趣强度、稳定性进行预测实验,确定兴趣的表示形式,以此构建初始兴趣模型,并提出相应的兴趣节点更新流程。本研究提出的基于本体的用户兴趣模型及更新流程在用户兴趣表示的深度及广度上有了一定程度的提升,在标签资源推荐、检索等实践应用上其适用性更强。
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| 关 键 词： | 本体 社会化标签 兴趣模型 用户动态兴趣 |
Modeling Research of Users Dynamic Interests Based on Ontology and Folksonomy |
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| Li Yuanyuan,Li Xuhui.Modeling Research of Users Dynamic Interests Based on Ontology and Folksonomy[J].Journal of the China Society for Scientific andTechnical Information,2020,39(4):436-449. |
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| Authors: | Li Yuanyuan Li Xuhui |
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| Institution: | (School of Information Management,Wuhan University,Wuhan 430072) |
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| Abstract: | Web 2.0 application technologies, such as blog, instant messaging, social network, community sharing, and Folksonomy, enable the combination of users, information, and resources to form a closely related web network. In recent times, there have been limited research studies that apply ontology to analyze the dynamic interests of the users of social tags. Therefore, a platform’s requirements related to an accurate understanding of its users’ interests are not fulfilled. Our study discusses the construction method of interest model from this standpoint. The ontology of interest labels for Douban readers is constructed in this study on the basis of restriction rules and relationship definitions of words in the Chinese Classification Thesaurus and Chinese Library Classification. According to the index of reproduction, coverage, and calorific rate, the interest intensity and stability of tags are predicted, and the expression form of interest is determined. The initial interest model is then constructed, and the corresponding renewal process of interest nodes is proposed. The user’s interest model combined with ontology and its update process have improved the expression depth and width of user interests to a certain extent. Thus, this work demonstrates a higher scientific reference significance in the applicability of resource recommendation, retrieval, and other applications. |
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| Keywords: | ontology folksonomy interest model users dynamic interests |
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