摘要
文章分析了学术信息推荐的特性和学术信息质量的影响因素,认为信息质量是提升学术推荐系统性能的重要影响因素。并归纳、分析了推荐系统用户满意度变量,重点考虑了信息质量、信息内容和信息协同3个影响因素,构建了包括信息表述、用户偏好获取、混合推荐、信息质量评估和综合评分5个模块的混合推荐模型,并简述了其实现步骤与方法。
This paper analyzes the characteristics of academic information recommendation and influencing factors of academic information quality. The paper believes that information quality is the most important influencing factor to improve the function of academic recommendation system. The paper concludes and analyzes the variables of users＇ satisfaction in recommendation system,and focuses on the 3 influencing factors of information quality,information content and information collaboration. Finally,the paper constructs the hybrid recommendation model,which includes 5 modules of information representation,user preference acquisition,hybrid recommendation,information quality evaluation and comprehensive score,and briefly describes the steps and method for its implementation.
出处
《情报理论与实践》
CSSCI
北大核心
2015年第2期17-22,共6页
Information Studies:Theory & Application
基金
国家自然科学基金项目"基于关联书目数据的分层聚合与导航机制研究"的成果
项目编号:71373278
关键词
学术信息
信息质量
算法
推荐模型
academic information
information quality
algorithm
recommendation model
