Adaptive Temporal Query Modeling

  • Maria-Hendrike Peetz
  • Edgar Meij
  • Maarten de Rijke
  • Wouter Weerkamp
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7224)


We present an approach to query modeling that uses the temporal distribution of documents in an initially retrieved set of documents. Such distributions tend to exhibit bursts, especially in news-related document collections. We hypothesize that documents in those bursts are more likely to be relevant and update the query model with the most distinguishing terms in high-quality documents sampled from bursts. We evaluate the effectiveness of our models on a test collection of blog posts.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Balog, K., Bron, M., de Rijke, M.: Category-Based Query Modeling for Entity Search. In: Gurrin, C., He, Y., Kazai, G., Kruschwitz, U., Little, S., Roelleke, T., Rüger, S., van Rijsbergen, K. (eds.) ECIR 2010. LNCS, vol. 5993, pp. 319–331. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  2. 2.
    Dakka, W., Gravano, L., Ipeirotis, P.G.: Answering General Time Sensitive Queries. In: CIKM 2008, pp. 1437–1438 (2008)Google Scholar
  3. 3.
    Efron, M., Golovchinsky, G.: Estimation Methods for Ranking Recent Information. In: SIGIR 2011, pp. 495–504 (2011)Google Scholar
  4. 4.
    Jones, R., Diaz, F.: Temporal Profiles of Queries. ACM Trans. Inf. Syst. 25(3), Article 14 (2007)Google Scholar
  5. 5.
    Keikha, M., Gerani, S., Crestani, F.: TEMPER: A Temporal Relevance Feedback Method. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 436–447. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  6. 6.
    Lavrenko, V., Croft, W.B.: Relevance-Based Language Models. In: SIGIR 2001, pp. 120–127 (2001)Google Scholar
  7. 7.
    Li, X., Croft, W.B.: Time-Based Language Models. In: CIKM 2003, pp. 469–475 (2003)Google Scholar
  8. 8.
    Manning, C., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press (2008)Google Scholar
  9. 9.
    Massoudi, K., Tsagkias, M., de Rijke, M., Weerkamp, W.: Incorporating Query Expansion and Quality Indicators in Searching Microblog Posts. In: Clough, P., Foley, C., Gurrin, C., Jones, G.J.F., Kraaij, W., Lee, H., Mudoch, V. (eds.) ECIR 2011. LNCS, vol. 6611, pp. 362–367. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  10. 10.
    Meij, E., de Rijke, M.: Supervised Query Modeling Using Wikipedia. In: SIGIR 2010, pp. 875–876 (2010)Google Scholar
  11. 11.
    Ounis, I., de Rijke, M., Macdonald, C., Mishne, G., Soboroff, I.: Overview of the TREC-2006 Blog Track. In: TREC 2006, Gaithersburg, USA (2006)Google Scholar
  12. 12.
    Weerkamp, W., de Rijke, M.: Credibility Improves Topical Blog Post Retrieval. In: Proceedings of ACL 2008: HLT, pp. 923–931 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Maria-Hendrike Peetz
    • 1
  • Edgar Meij
    • 1
  • Maarten de Rijke
    • 1
  • Wouter Weerkamp
    • 1
  1. 1.ISLAUniversity of AmsterdamAmsterdamThe Netherlands

Personalised recommendations