Exploring term temporality for pseudo-relevance feedback

Stewart Whiting, Yashar Moshfeghi, Joemon M. Jose

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

12 Citations (Scopus)


As digital collections expand, the importance of the temporal aspect of information has become increasingly apparent. The aim of this paper is to investigate the effect of using long-term temporal profiles of terms in information retrieval by enhancing the term selection process of pseudo-relevance feedback (PRF). For this purpose, two temporal PRF approaches were introduced considering only temporal aspect and temporal along with textual aspect. Experiments used the AP88-89 and WSJ87-92 test collections with TREC Ad-Hoc Topics 51-100. Term temporal profiles are extracted from the Google Books n-grams dataset. The results show that the long-term temporal aspects of terms are capable of enhancing retrieval effectiveness.
Original languageEnglish
Title of host publicationProceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval
Place of PublicationNew York
Number of pages2
Publication statusPublished - 24 Jul 2011
Event34th Annual ACM SIGIR Conference - Beijing, China
Duration: 24 Jul 201128 Jul 2011


Conference34th Annual ACM SIGIR Conference
Internet address


  • relevance feedback
  • retrieval
  • temporal profiles
  • pseudo-relevance feedback (PRF)


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