数字图书馆论坛Issue(4)：22-29,8.DOI:10.3772/j.issn.1673-2286.2016.4.004
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
陈海华 1何文静2
作者信息
- 1. 武汉大学信息管理学院，武汉430072
- 2. 武汉大学信息检索与知识挖掘研究所，武汉430072
- 折叠
摘要
Abstract
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.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Key words
Paper Recommendation/Recommended Content Quality/Service Quality/Technical Capacity/User Satisfaction分类
社会科学引用本文复制引用
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):22-29,8.
