| 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 |
| 信息检索系统的关联关键词推荐研究 |
| Information Retrieval Method of Association Keywords Recommendations |
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| DOI： |
| 中文关键词: 组配;关联推荐;信息检索 |
| 英文关键词: Match;Association Recommendations;Information Retrieval |
| 基金项目: |
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| 摘要点击次数: 2148 |
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| 中文摘要: |
| 目前的信息检索系统对用户是不透明的，用户需要以猜想方式向系统提问并反复浏览检出结果来判断信息价值。大数据加剧了用户因筛选惊人文献量而导致的精神上和时间上的压力，且压力随着跨学科、多关联度信息检索需求的上升而越来越明显。本文提出一种关键词关联推荐的方法，解决过去由用户先猜想输入一个覆盖面大的检索词，再通过浏览缩小检索范围的方法，变为由用户选择系统推荐的内部关键词关联组配的方式来提高检索精确度。实验证明，这种关键词关联推荐方法大大提高了信息检索系统的检索精度，同时减轻了用户的信息检索压力。 |
| 英文摘要: |
| 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. |
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