Topic-based computing model for web page popularity and website influence

Song Gao, Yajie Miao, Liu Yang, Chunping Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


We propose a novel algorithm called Popularity&InfluenceCalculator (PIC) to get the most popular web pages and influent websites under certain keywords. We assume that the influence of a website is composed of its own significance and the effects of its pages, while the popularity of a web page is related with the websites and all the other pages. After that, we design a novel algorithm which iteratively computes importance of both websites and web pages. The empirical results show that the PIC algorithm can rank the pages in famous websites and pages with descriptive facts higher. We also find out that those pages contain more popular contents, which is accordant with our previous description of popularity. Our system can help users to find the most important news first, under certain keywords.

Original languageEnglish
Title of host publicationAI 2009: Advances in Artificial Intelligence - 22nd Australasian Joint Conference, Proceedings
Number of pages10
Volume5866 LNAI
Publication statusPublished or Issued - 2009
Externally publishedYes
Event22nd Australasian Joint Conference on Artificial Intelligence, AI 2009 - Melbourne, VIC, Australia
Duration: 1 Dec 20091 Dec 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5866 LNAI
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference22nd Australasian Joint Conference on Artificial Intelligence, AI 2009
CityMelbourne, VIC


  • Computing model
  • Influence of websites
  • Popularity of web pages
  • Topic search

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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