Effective Information Retrieval (Computer and Information Science)

有效的信息检索（计算机与信息科学）

• 批准号: 8702177
• 负责人: Clement Yu
• 金额: $ 9.44万
• 依托单位: University of Illinois at Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1987
• 资助国家: 美国
• 起止时间: 1987-08-01 至 1990-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=8702177&HistoricalAwards=false
• 关键词: Effective; Information; Retrieval; Computer; Science

This research investigates schemes for describing documents which can achieve much higher recall and precision than existing techniques. The schemes use term frequency in an optimal way, significantly more effective than the binary independence model. The significance of this work is that the explosively growing number of documents available to scientists, engineers, and researchers in all fields can now only be handled effectively by computer systems. Current indexing systems operate rapidly, but must be improved to accurately retrieve the most relevant documents while retrieving very few irrelevant documents for any given query.

本研究探讨了描述文档的方案，这些方案可以实现比现有技术更高的查全率和查准率。该方案以最优方式使用项频率，比二元无关模型有效得多。这项工作的意义在于，对于所有领域的科学家、工程师和研究人员来说，现在只能通过计算机系统有效地处理数量爆炸式增长的文件。当前的索引系统运行速度很快，但必须加以改进，以便准确地检索最相关的文档，同时为任何给定的查询检索很少不相关的文档。