Using conditional probabilities for automatic new topic identification


Ozmutlu S., Ozmutlu H. C. , Buyuk B.

ONLINE INFORMATION REVIEW, vol.31, no.4, pp.491-515, 2007 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 31 Issue: 4
  • Publication Date: 2007
  • Doi Number: 10.1108/14684520710780449
  • Journal Name: ONLINE INFORMATION REVIEW
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.491-515
  • Bursa Uludag University Affiliated: Yes

Abstract

Purpose - One of the most important dimensions of search engine user information seeking behaviour is content-based behaviour. One of the main elements in developing a personalised intelligent search engine is new topic identification. The purpose of this study is to perform automatic new topic identification in search engine transaction logs using conditional probabilities of new topic arrivals.