Similarity in Information Retrieval

被引：2

作者：

Martinovic, Jan ^{[1
]}

Gajdos, Petr ^{[1
]}

Snasel, Vaclav ^{[1
]}

机构：

[1] Tech Univ Ostrava, Dept Comp Sci, FEECS, Ostrava, Czech Republic

来源：

SEVENTH INTERNATIONAL CONFERENCE ON COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT APPLICATIONS, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/CISIM.2008.26

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

One of the key problems in the Information Retrieval (IR) is a similarity measure. IR systems that can model human performance often make use of similarity judgments that are non-metric [5, 24]; but when the triangle inequality is not obeyed, most existing IR techniques are not applicable. We define similarity as epsilon-k-ball in this paper and we focused on algorithms which use this similarity measure.

引用

页码：145 / 150

页数：6

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