Seed Selection for Domain-Specific Search

被引：5

作者：

Priyatam, Pattisapu Nikhil ^{[1
]}

Dubey, Ajay ^{[1
]}

Perumal, Krish ^{[1
]}

Praneeth, Sai ^{[1
]}

Kakadia, Dharmesh ^{[1
]}

Varma, Vasudeva ^{[1
]}

机构：

[1] IIIT Hyderabad, Search & Informat Extract Lab, Hyderabad, AP, India

来源：

WWW'14 COMPANION: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB | 2014年

关键词：

D O I：

10.1145/2567948.2579216

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The last two decades have witnessed an exponential rise in web content from a plethora of domains, which has necessitated the use of domainspecific search engines. Diversity of crawled content is one of the crucial aspects of a domain specific search engine. To a large extent, diversity is governed by the initial set of seed URLs. Most of the existing approaches rely on manual effort for seed selection. In this work we automate this process using URLs posted on Twitter. We propose an algorithm to get a set of diverse seed URLs from a Twitter URL graph. We compare the performance of our approach against the baseline zero similarity seed selection method and find that our approach beats the baseline by a significant margin.

引用

页码：923 / 928

页数：6

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