| 陈海华,何文静.基于用户满意度的学术文献推荐评价研究[J].数字图书馆论坛,2016,(4):22~29 |
| 基于用户满意度的学术文献推荐评价研究 |
| Research on User Satisfaction-based paper recommendation evolution |
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| DOI： |
| 中文关键词: 学术文献推荐;推荐内容质量;服务质量;技术能力;用户满意度 |
| 英文关键词: Paper Recommendation;Recommended Content Quality;Service Quality;Technical Capacity;User Satisfaction |
| 基金项目: |
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| 摘要点击次数: 1981 |
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| 中文摘要: |
| 学术文献推荐可以自动化地为学者推荐合适的文献。借助于文献推荐，用户可以在一定程度上提高文献检索的效率。鉴于当前对文献推荐的评价缺少实证研究，本文从文献推荐的内容质量、服务质量和技术能力三个方面，检验其对用户满意度和持续使用意愿的影响关系。利用量表式问卷对网络用户进行调查，通过结构方程建模的方法对所回收的问卷进行分析。用户使用文献推荐服务的满意度受到推荐内容质量、服务质量和技术能力的影响，进而影响其持续使用意愿。 |
| 英文摘要: |
| Paper recommendation can recommend suitable documents for an author. With the aid of paper recommendation, authors can improve the efficiency of retrieving academic literatures. Due to the lack of empirical study on paper recommendation evolution, this paper aims at exploring the interaction on user satisfaction and continuing use wil ingness for three aspects such as recommended content quality, service quality and technical capacity. This paper col ects 299 valid questionnaires with questionnaires scale for users, and analyzes the samples by means of structural equation modeling (SEM). We find that recommended content quality, service quality and technical capacity have positive effects on user satisfaction, and further have positive effects on users' continuing use wil ingness. |
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