基于标签云系统共现分析的用户兴趣预测模型

发布时间：2018-05-13 07:08

本文选题：兴趣预测 + 标签云系统　；参考：《情报杂志》2017年05期

【摘要】：[目的/意义]互联网的出现满足了人们展示兴趣的需求,为了使具有共同兴趣的人能够聚集在一起,就需要进一步探讨用户的兴趣,发现其潜在需求,建立兴趣预测模型,使其成为人与人、人与信息资源之间互动的桥梁。[方法/过程]借助之前学者提出的标签云系统这个概念,加以改进,将其作为用户兴趣的表达方式,采用共现分析作为主要的预测手段,建立标签集之间的关联关系,最终实现用户兴趣的预测。[结果/结论]以流程图的形式呈现用户兴趣预测模型,即此模型能够描述用户兴趣预测的过程,并通过实验研究,验证模型的可行性。
[Abstract]:[purpose / meaning] the emergence of the Internet has met the need for people to show interest, and in order for people with common interests to come together, it is necessary to further explore the interests of users, discover their potential needs, and build models for forecasting interest. Make it become the bridge of interaction between people, people and information resources. [method / process] based on the concept of label cloud system put forward by previous scholars, it is improved as the expression of user interest, and co-occurrence analysis is used as the main prediction method to establish the correlation relationship between tag sets. Finally, the prediction of user interest is realized. [results / conclusion] A model of user interest prediction is presented in the form of flow chart, that is, this model can describe the process of user interest prediction, and verify the feasibility of the model through experimental research.
【作者单位】：华南理工大学经济与贸易学院;
【基金】：广东省公益研究与能力建设项目“面向广东企业创新发展的信息服务模式研究”(编号:x2jm B2152960) 广东省协同创新与平台环境建设项目“广东省利用‘互联网+’推动科技服务业模式创新研究”(编号:x2jm E8160620) 中央高校基本科研业务费项目“基于用户交互行为的标签本体构建及服务模式研究”(编号:x2jm D2152350)成果之一
【分类号】：G202

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