Analyzing the results of automatic new topic identification

Ozmutla S., Cosar G. C.

LIBRARY HI TECH, vol.26, no.3, pp.466-487, 2008 (SSCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 3
  • Publication Date: 2008
  • Doi Number: 10.1108/07378830810903373
  • Journal Name: LIBRARY HI TECH
  • Journal Indexes: Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.466-487
  • Bursa Uludag University Affiliated: Yes


Purpose - Identification of topic changes within a user search session is a key issue in content analysis of search engine user queries. Recently. various studies have focused on new topic identification/session identification of search engine transaction logs, and several problems regarding the estimation of topic shifts and continuations were observed in these studies. This study aims to analyze the reasons for the problems that were encountered as a result of applying automatic new topic identification.