Determining the titles of Web pages using anchor text and link analysis

被引：6

作者：

Jeong, Ok-Ran ^{[1
]}

Oh, Jehwan ^{[2
]}

Kim, Dong-Jin

Lyu, Heetae ^{[3
]}

Kim, Won ^{[1
]}

机构：

[1] Gachon Univ, Dept Software Design & Management, Songnam, South Korea

[2] Univ Minnesota, Dept Comp Sci, Minneapolis, MN 55455 USA

[3] Naver Corp, Songnam, South Korea

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2014年 / 41卷 / 09期

基金：

新加坡国家研究基金会;

关键词：

Anchor text; Link analysis; Title extraction; Web page;

D O I：

10.1016/j.eswa.2013.12.033

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Determining the titles of Web pages is an important element in characterizing and categorizing the vast number of Web pages. There are a few approaches to automatically determining the titles of Web pages. As an R&D project for Naver, the operator of Naver (Korea's largest portal site), we developed a new method that makes use of anchor texts and analysis of links among Web pages. In this paper, we describe our method and show experiment results of its performance. (C) 2014 Elsevier Ltd. All rights reserved.

引用

页码：4322 / 4329

页数：8

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