Web Page Classification Using Distributed Learning Automata and Partitioning Graph Algorithm

Mahdi Bazarganigilani, Ali Syed

Research output: Book chapter/Published conference paperConference paperpeer-review

2 Citations (Scopus)

Abstract

The characteristic of dynamic websites is that they include hidden contents, and this huge repository is only accessible via the website interfaces. This is a vital capability of all search engines, thus providing the users with links that are more relevant and ranked according to their needs. The drawback of most search engine algorithms is that they rank pages based on hyperlinked relative importance to other pages, rather than user intent and interest. This paper proposes a method based on Learning Automata for the classification of the webpage searches.
Original languageEnglish
Title of host publicationFocused Web Crawling Using Decay Concept and Genetic Programming
PublisherIEEE
Pages302-304
Number of pages3
ISBN (Electronic)9780769541747
DOIs
Publication statusPublished - 2010
EventWorkshops on Database and Expert Systems Applications - Bilbao, Spain, Spain
Duration: 30 Aug 201003 Sep 2010

Workshop

WorkshopWorkshops on Database and Expert Systems Applications
Country/TerritorySpain
Period30/08/1003/09/10

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