数字图书馆论坛Issue(6)：39-45,7.DOI:10.3772/j.issn.1673-2286.2019.06.005
学术期刊APP应用中交互式检索的情景设计与技术实现*
Scenario Design and Technology Realization of Interactive Retrieval in Academic Journal APP
摘要
Abstract
With the development of domestic academic journals, the traditional search methods can no longer meet the user’s search needs. How to quickly and efficiently retrieve the information required by users is a key issue for academic journals APP retrieval. In order to solve the above problems, this paper proposes an intelligent interactive retrieval framework, which uses deep learning and related feedback techniques to analyze the data, finds the intrinsic features of the retrieval objects and their connections, and enhances the accuracy of retrieval. The intelligent interactive retrieval model focuses on the interaction between the user and the system, fully considers the user’s situational awareness and interaction behavior, and experimentally verifies that the model can effectively improve the retrieval efficiency.关键词
人工智能/交互式检索/深度学习/相关反馈Key words
Artificial Intelligence/Interactive Retrieval/Deep Learning/Related Feedback分类
社会科学引用本文复制引用
徐彤阳,邓颖慧..学术期刊APP应用中交互式检索的情景设计与技术实现*[J].数字图书馆论坛,2019,(6):39-45,7.基金项目
本研究得到2017年度山西省哲学社会科学课题"山西智库建设中文献情报资源服务平台构建研究"(编号:晋规办字〔2017〕2号)和山西财经大学教学改革创新项目"新媒体时代基于元素养的信息检索课程教学模式探讨"(编号:2019218)资助. （编号:晋规办字〔2017〕2号）
