Analyzing the results of automatic new topic identification

Ozmutla S., Cosar G. C.

LIBRARY HI TECH, cilt.26, sa.3, ss.466-487, 2008 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 3
  • Basım Tarihi: 2008
  • Doi Numarası: 10.1108/07378830810903373
  • Dergi Adı: LIBRARY HI TECH
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus
  • Sayfa Sayıları: ss.466-487
  • Bursa Uludağ Üniversitesi Adresli: Evet

Özet

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.