Skip to main content

Combining Recency and Topic-Dependent Temporal Variation for Microblog Search

  • Conference paper
Book cover Advances in Information Retrieval (ECIR 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7814))

Included in the following conference series:

Abstract

The appearance of microblogging services has led to many short documents being issued by crowds of people. To retrieve useful information from among such a huge quantity of messages, query expansion (QE) is usually used to enrich a user query. Some QE methods for microblog search utilize temporal properties (e.g., recency and temporal variation) derived from the real-time characteristic that many messages are posted by users when an interesting event has recently occurred. Our approach leverages temporal properties for QE and combines them according to the temporal variation of a given topic. Experimental results show that this QE method using automatically combined temporal properties is effective at improving retrieval performance.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Dakka, W., Gravano, L., Ipeirotis, P.G.: Answering general time-sensitive queries. TKDE 24(2), 220–235 (2012)

    Google Scholar 

  2. Efron, M., Golovchinsky, G.: Estimation methods for ranking recent information. In: SIGIR, pp. 495–504 (2011)

    Google Scholar 

  3. Efron, M.: The university of illinois’ graduate school of library and information science at TREC 2011. In: TREC (2011)

    Google Scholar 

  4. Jones, R., Diaz, F.: Temporal profiles of queries. TOIS 25(3) (2007)

    Google Scholar 

  5. Lavrenko, V., Croft, W.B.: Relevance based language models. In: SIGIR, pp. 120–127 (2001)

    Google Scholar 

  6. Li, X., Croft, W.: Time-based language models. In: CIKM, pp. 469–475 (2003)

    Google Scholar 

  7. Liang, F., Qiang, R., Yang, J.: Exploiting real-time information retrieval in the microblogosphere. In: JCDL, pp. 267–276 (2012)

    Google Scholar 

  8. 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)

    Chapter  Google Scholar 

  9. Metzler, D., Cai, C.: Usc/isi at trec 2011: Microblog track. In: TREC (2011)

    Google Scholar 

  10. Ounis, I., Macdonald, C., Lin, J., Soboroff, I.: Overview of the TREC-2011 microblog track. In: TREC (2011)

    Google Scholar 

  11. Peetz, M.-H., Meij, E., de Rijke, M., Weerkamp, W.: Adaptive Temporal Query Modeling. In: Baeza-Yates, R., de Vries, A.P., Zaragoza, H., Cambazoglu, B.B., Murdock, V., Lempel, R., Silvestri, F. (eds.) ECIR 2012. LNCS, vol. 7224, pp. 455–458. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  12. Strohman, T., Metzler, D., Turtle, H., Croft, W.: Indri: a language model-based search engine for complex queries. In: ICIA (2005)

    Google Scholar 

  13. Zhai, C., Lafferty, J.: A study of smoothing methods for language models applied to information retrieval. TOIS 22(2), 179–214 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Miyanishi, T., Seki, K., Uehara, K. (2013). Combining Recency and Topic-Dependent Temporal Variation for Microblog Search. In: Serdyukov, P., et al. Advances in Information Retrieval. ECIR 2013. Lecture Notes in Computer Science, vol 7814. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36973-5_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-36973-5_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36972-8

  • Online ISBN: 978-3-642-36973-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics