Relevance ranking for one to three term queries

被引：75

作者：

Clarke, CLA

Cormack, GV

Tudhope, EA

机构：

[1] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 3G4, Canada

[2] Univ Waterloo, Waterloo, ON N2L 3G1, Canada

来源：

INFORMATION PROCESSING & MANAGEMENT | 2000年 / 36卷 / 02期

基金：

加拿大自然科学与工程研究理事会;

关键词：

D O I：

10.1016/S0306-4573(99)00017-5

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We investigate the application of a novel relevance ranking technique, cover density ranking, to the requirements of Web-based information retrieval, where a typical query consists of a few search terms and a typical result consists of a page indicating several potentially relevant documents. Traditional ranking methods for information retrieval, based on term and inverse document frequencies, have been found to work poorly in this context. Under the cover density measure, ranking is based on term proximity and cooccurrence. Experimental comparisons show performance that compares favorably with previous work. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：291 / 311

页数：21