摘要
相关反馈是近年来信息检索领域的研究热点 ,是自动查询扩展中的一种重要形式 ,相关反馈主要包括检索词加权和检索词选择。本文介绍了在相关反馈技术中经典的检索词排序算法 ,对它们带来的性能改进做了比较 ,并提出了相关反馈的实际应用中需要解决的一些问题。
One common method for query expansion is relevance feedback, and much research work has been done to it. Relevance feedback focuses two aspects: term reweighting and term selection. In this paper, the authors elaborate a few classical term ranking methods, and compare them in retrieval performance. At last, they discuss the problems in implementing relevance feedback.
出处
《现代图书情报技术》
CSSCI
北大核心
2004年第8期44-47,共4页
New Technology of Library and Information Service
关键词
相关反馈
检索词排序
检索词加权
信息检索
Relevance feedback Term ranking Term weighting Information retrieval
