数字图书馆论坛Issue(4)：11-14,4.DOI:10.3772/j.issn.1673-2286.2016.4.002
信息检索系统的关联关键词推荐研究
Information Retrieval Method of Association Keywords Recommendations
温有奎1
作者信息
- 1. 中国科学技术信息研究所，北京100038; 北京万方数据股份有限公司，北京100038
- 折叠
摘要
Abstract
The current information retrieval system is opaque to the user, the user needs to guess the way to browse the system and repeatedly questioning the results of detection to determine the value of the information. Big data exacerbated the user filter amazing amount of literature which led to mental pressure and time, with the cross-disciplinary, multi-Correlation gradual y increased demand for information retrieval, the pressure wil be more and more obvious. This paper proposes a keyword associated with the method recommended in the past by the user to solve the conjecture enter a search term covering a large surface, narrow your search by browsing method, the user selects becomes automatic internal keyword group associated with ways to improve the retrieval Accuracy. Experiments prove that keyword association recommended method greatly improves the retrieval accuracy of information retrieval systems, while reducing the user's information retrieval pressure.关键词
组配/关联推荐/信息检索Key words
Match/Association Recommendations/Information Retrieval分类
社会科学引用本文复制引用
温有奎..信息检索系统的关联关键词推荐研究[J].数字图书馆论坛,2016,(4):11-14,4.
