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Retrieval of Web Pages on Real-World Events related to Physical Objects

Author

Listed:
  • Takeshi Okadome

    (Kwansei Gakuin University, Japan)

  • Hajime Funai

    (Kwansei Gakuin University, Japan)

  • Sho Ito

    (Kwansei Gakuin University, Japan)

  • Junya Nakajima

    (Kwansei Gakuin University, Japan)

  • Koh Kakusho

    (Kwansei Gakuin University, Japan)

Abstract

The method proposed in this paper searches for web pages using an event-related query consisting of a noun, verb, and genre term. It re-ranks web pages retrieved using a standard search engine on the basis of scores calculated from an expression consisting of weighted factors such as the frequency of query words. For the genres that are characterized by their genre terms, the method optimizes the weights of the expression. Furthermore, the method attempts to improve the scores provided of relevant pages by using machine learning techniques. In addition, some evaluations are provided to show the effectiveness of the method.

Suggested Citation

  • Takeshi Okadome & Hajime Funai & Sho Ito & Junya Nakajima & Koh Kakusho, 2012. "Retrieval of Web Pages on Real-World Events related to Physical Objects," International Journal of Information Retrieval Research (IJIRR), IGI Global, vol. 2(1), pages 65-80, January.
    • Handle: RePEc:igg:jirr00:v:2:y:2012:i:1:p:65-80
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