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JACIII Vol.20 No.6 pp. 910-918
doi: 10.20965/jaciii.2016.p0910
(2016)

Paper:

Design of Context Search Engine Based on Analysis of User’s Search Intentions

Yasufumi Takama*, Yanjun Zhu*, Shogo Kori*, Koichi Yamaguchi*, Lieu-Hen Chen**, and Hiroshi Ishikawa*

*Graduate School of System Design, Tokyo Metropolitan University
6-6 Asahigaoka, Hino, Tokyo 191-0065, Japan

**College of Science and Technology, National Chi Nan University
#1 University Road, Puli, Nantao, Taiwan

Received:
March 20, 2016
Accepted:
July 20, 2016
Published:
November 20, 2016
Keywords:
advanced search engine, information retrieval, user behavior, temporal variation
Abstract

The context search engine has been studied for answering trend-related queries. As trend information is obtained from temporal data, which is common in many applications, the context engine is expected to be available regardless of domains. When using existing search engines, it is supposed that users submit a series of queries based on search intention. Therefore, search functions of the context search engine should be designed based on the user’s potential search intention. To analyze user’s behavior in information retrieval, this paper conducted experiments using existing Web search engines. The experimental result is analyzed, based on which the design of a context search engine is described. As another contribution of this paper, new types of temporal variations which can be used to specify queries of the context search engine are also proposed. The results of user experiments confirmed the usability of the proposed temporal variations.

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Last updated on Oct. 16, 2017