Skip to main content
Log in

Detection of Breaking News from Online Web Search Queries

  • Published:
New Generation Computing Aims and scope Submit manuscript

Abstract

Many people enter queries to Google or Yahoo! in order to search useful information from the Web. Queries given to search engines can be regarded as the resources for detecting people’s information needs. It is often reported that many people perform search intensively after worldwide disasters or accidents. This paper describes a method for detecting such breaking news from search queries that are available online. In our method, real time search queries are obtained and filtered with news words extracted from a news site. Experimental results show that our method has abilities of detecting breaking news from more than 25 million search queries for six months.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Allan, J., Topic Detection and Tracking, Kluwer Academic Publishers, 2002.

  2. Chien, S., Immorlica, N., “Semantic Similarities Between Search Engine Queries Using Temporal Correlation,” in Proc. of the Fourteenth Int’l World Wide Web Conf. 2005.

  3. Dubinko, M., Kumar, R., Magnani, J., Novak J., Raghavan P., Tomkins, A., “Visualizing Tags over Time,” in Proc. of the Fifteenth Int’l World Wide Web Conf. 2006.

  4. Kleinberg, J., “Temporal Dynamics of On-Line Information Streams,” in Data Stream Management: Processing High-Speed Data Streams (Garofalakis, M., Gehrke, J., Rastogi, R. Eds), Springer, 2007.

  5. Murata, T., “Towards the Detection of Breaking News from Online Web Search Keywords,” in Proc. of 2006 IEEE/WIC/ACM Int’l Workshop on Intelligent Web Interaction, pp.401–404, 2006.

  6. Radlinski, F., Joachims, T., “Query Chains: Learning to Rank from Implicit Feedback,” in Proc. of the ACM Int’l Conf. on Knowledge Discovery and Data mining (KDD), 2005.

  7. Silverstein, C., Henzinger, M., Marais, H., and Moricz, M., “Analysis of a Very Large AltaVista Query Log,” SRC Technical Note 1998-014 1998.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tsuyoshi Murata.

About this article

Cite this article

Murata, T. Detection of Breaking News from Online Web Search Queries. New Gener. Comput. 26, 63–73 (2007). https://doi.org/10.1007/s00354-007-0035-3

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00354-007-0035-3

Keywords

Navigation