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

Takeshi Okadome, Hajime Funai, Sho Ito, Junya Nakajima and Koh Kakusho
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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

International Journal of Information Retrieval Research (IJIRR), 2012, vol. 2, issue 1, 65-80

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.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:2:y:2012:i:1:p:65-80

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