---
_id: '11687'
abstract:
- lang: eng
  text: "When using traditional search engines, users have to formulate queries to
    describe their information need. This paper discusses a different approach to
    Web searching where the input to the search process is not a set of query terms,
    but instead is the URL of a page, and the output is a set of related Web pages.
    A related Web page is one that addresses the same topic as the original page.
    For example, www.washingtonpost.com is a page related to www.nytimes.com, since
    both are online newspapers.\r\n\r\nWe describe two algorithms to identify related
    Web pages. These algorithms use only the connectivity information in the Web (i.e.,
    the links between pages) and not the content of pages or usage information. We
    have implemented both algorithms and measured their runtime performance. To evaluate
    the effectiveness of our algorithms, we performed a user study comparing our algorithms
    with Netscape's `What's Related' service (http://home.netscape.com/escapes/related/).
    Our study showed that the precision at 10 for our two algorithms are 73% better
    and 51% better than that of Netscape, despite the fact that Netscape uses both
    content and usage pattern information in addition to connectivity information."
article_processing_charge: No
article_type: original
author:
- first_name: Jeffrey
  full_name: Dean, Jeffrey
  last_name: Dean
- first_name: Monika H
  full_name: Henzinger, Monika H
  id: 540c9bbd-f2de-11ec-812d-d04a5be85630
  last_name: Henzinger
  orcid: 0000-0002-5008-6530
citation:
  ama: Dean J, Henzinger MH. Finding related pages in the world wide Web. <i>Computer
    Networks</i>. 1999;31(11-16):1467-1479. doi:<a href="https://doi.org/10.1016/s1389-1286(99)00022-5">10.1016/s1389-1286(99)00022-5</a>
  apa: Dean, J., &#38; Henzinger, M. H. (1999). Finding related pages in the world
    wide Web. <i>Computer Networks</i>. Elsevier. <a href="https://doi.org/10.1016/s1389-1286(99)00022-5">https://doi.org/10.1016/s1389-1286(99)00022-5</a>
  chicago: Dean, Jeffrey, and Monika H Henzinger. “Finding Related Pages in the World
    Wide Web.” <i>Computer Networks</i>. Elsevier, 1999. <a href="https://doi.org/10.1016/s1389-1286(99)00022-5">https://doi.org/10.1016/s1389-1286(99)00022-5</a>.
  ieee: J. Dean and M. H. Henzinger, “Finding related pages in the world wide Web,”
    <i>Computer Networks</i>, vol. 31, no. 11–16. Elsevier, pp. 1467–1479, 1999.
  ista: Dean J, Henzinger MH. 1999. Finding related pages in the world wide Web. Computer
    Networks. 31(11–16), 1467–1479.
  mla: Dean, Jeffrey, and Monika H. Henzinger. “Finding Related Pages in the World
    Wide Web.” <i>Computer Networks</i>, vol. 31, no. 11–16, Elsevier, 1999, pp. 1467–79,
    doi:<a href="https://doi.org/10.1016/s1389-1286(99)00022-5">10.1016/s1389-1286(99)00022-5</a>.
  short: J. Dean, M.H. Henzinger, Computer Networks 31 (1999) 1467–1479.
date_created: 2022-07-29T06:55:26Z
date_published: 1999-05-17T00:00:00Z
date_updated: 2022-09-12T09:12:21Z
day: '17'
doi: 10.1016/s1389-1286(99)00022-5
extern: '1'
intvolume: '        31'
issue: 11-16
keyword:
- Search engines
- Related pages
- Searching paradigms
language:
- iso: eng
month: '05'
oa_version: None
page: 1467-1479
publication: Computer Networks
publication_identifier:
  issn:
  - 1389-1286
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Finding related pages in the world wide Web
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 31
year: '1999'
...