Internet Archive Scholar

Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search

Suruchi Chawla
2018 Journal of Information Technology Research  

Preserved Fulltext

fulltext thumbnail
Web Archive Capture PDF (262.6 kB)
https://web.archive.org/web/20190219043905/http://pdfs.semanticscholar.org/1522/9ce872d871324a663414e9954c27f728e6ba.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL. The file type is application/pdf.

Themainchallengetoeffectiveinformationretrievalis tooptimize thepagerankinginorder to retrieverelevantdocumentsforuserqueries.Inthisarticle,amethodisproposedwhichuseshybridof geneticalgorithms(GA)andtrustforgeneratingtheoptimalrankingoftrustedclickedURLsforweb pagerecommendations.ThetrustedwebpagesareselectedbasedonclusteredquerysessionsforGA basedoptimalrankinginordertoretrievemorerelevantdocumentsupinrankingandimprovesthe
more » ... mendsrelevant documentstowebusersfortheirsearchgoalandsatisfytheinformationneedoftheusereffectively. Theexperimentwasconductedonadatasetcapturedinthreedomains,academics,entertainment andsports,toevaluatetheperformanceofGAbasedoptimalranking(with/withouttrust)andsearch resultsconfirmstheimprovementofprecisionofsearchresults.
doi:10.4018/jitr.2018040107 fatcat:pb4sh47l2zbrnisfd2iam5boiy
Citation

Suruchi Chawla. "Web Page Recommender System using hybrid of Genetic Algorithm and Trust for Personalized Web Search." Journal of Information Technology Research 11.2 (2018) 110-127