A Focused Crawler Model Based on Mutation Improving Particle Swarm Optimization Algorithm

Guangxia Xu, Peng Jiang, Chuang Ma, Mahmoud Daneshmand

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

3 Scopus citations

Abstract

The focused crawler is the key technology of the focused search engine. The current focused crawler is prone to poor adaptability and low search accuracy in the process of crawling the webpage. For these reasons, we proposes a focused crawler model (VRPSOFC) based on mutation improving particle swarm optimization. First, get three seed pages based on the click rate of the topic-related page. Then, get the four weighted documents of the seed pages. Finally, using the focused crawler model based on mutation improving particle swarm optimization algorithm to crawl the webpage, the results of the analysis show that the focused crawler model has a significant improvement in the precision of optimization.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Conference on Industrial Internet, ICII 2018
Pages173-174
Number of pages2
ISBN (Electronic)9781538677711
DOIs
StatePublished - 16 Nov 2018
Event1st IEEE International Conference on Industrial Internet, ICII 2018 - Bellevue, United States
Duration: 21 Oct 201823 Oct 2018

Publication series

NameProceedings - 2018 IEEE International Conference on Industrial Internet, ICII 2018

Conference

Conference1st IEEE International Conference on Industrial Internet, ICII 2018
Country/TerritoryUnited States
CityBellevue
Period21/10/1823/10/18

Keywords

  • focused crawler
  • mutation
  • particle swarm algorithm

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