Dynamic selection method of the best search engine for a user's query

Authors:
Kodai Mizuno;Kyoji Kawagoe
Affiliations:
Ritsumeikan University, Kusatsu, Shiga, Japan;Ritsumeikan University, Kusatsu, Shiga, Japan
Venue:
Proceedings of the 3rd International Universal Communication Symposium
Year:
2009

Citing 5
Cited 0

The effectiveness of GIOSS for the text database discovery problem

SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
GlOSS: text-source discovery over the Internet

ACM Transactions on Database Systems (TODS)
Information retrieval on the web

ACM Computing Surveys (CSUR)
Automatic Classification of Text Databases Through Query Probing

Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
A Search Engine Selection Methodology

ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a new dynamic selection method of the best search engine for a user's query. When users retrieve on the Internet, the expert users manually select the best search engine for their queries. However, the most important problem is that the novice users cannot understand features of all search engines. Consequently, because such users cannot select the best search engine, the users cannot obtain the best retrieval results. In this paper, we focus the number of retrieval results, and we calculate search engines' matching scores suitable for the user's query by using this focus point. As a result, novice users can select the best search engine using the scores calculated by our system.