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

被引：0

作者：

Takama, Yasufumi ^{[1
]}

Zhu, Yanjun ^{[1
]}

Kori, Shogo ^{[1
]}

Yamaguchi, Koichi ^{[1
]}

Chen, Lieu-Hen ^{[2
]}

Ishikawa, Hiroshi ^{[1
]}

机构：

[1] Tokyo Metropolitan Univ, Grad Sch Syst Design, 6-6 Asahigaoka, Hino, Tokyo 1910065, Japan

[2] Natl Chi Nan Univ, Coll Sci & Technol, 1 Univ Rd, Puli, Nantao, Taiwan

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2016年 / 20卷 / 06期

关键词：

advanced search engine; information retrieval; user behavior; temporal variation;

D O I：

10.20965/jaciii.2016.p0910

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：910 / 918

页数：9

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