Presentation 2015-03-06
A search scheme considering the search process using ACO and search history
Shun KOIZUMI, Sumiko MIYATA, tetsuya MORIZUMI, Hirotsugu KINOSHITA,
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Abstract(in English) Recent years, the spread of Internet reveals that we can search information easily. However, it is difficult to find accurately their useful information because there are many information obtained from this search. Furthermore, if you are trying to better understand the information, it is necessary to consider both own search history and other user's search history. This is because that it is useful for a search user to refer to the other users who are able to search information with accuracy. In this paper, we suggest a new search method reflected the search history and the past search process which means the search trace that the user selects the information. The proposed search system can be realized by using the recommended system for selecting the appropriate reference user and ACO (Ant Colony Optimization) for getting the search process of the reference user. Moreover, we show the effectiveness of our method by combination of the recommended system and ACO.
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Keyword(in English) Swarm intelligence / ACO / Information retrieval
Paper # SITE2014-78,IA2014-110
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Conference Information
Committee IA
Conference Date 2015/2/26(1days)
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Paper Information
Registration To Internet Architecture(IA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A search scheme considering the search process using ACO and search history
Sub Title (in English)
Keyword(1) Swarm intelligence
Keyword(2) ACO
Keyword(3) Information retrieval
1st Author's Name Shun KOIZUMI
1st Author's Affiliation ()
2nd Author's Name Sumiko MIYATA
2nd Author's Affiliation
3rd Author's Name tetsuya MORIZUMI
3rd Author's Affiliation
4th Author's Name Hirotsugu KINOSHITA
4th Author's Affiliation
Date 2015-03-06
Paper # SITE2014-78,IA2014-110
Volume (vol) vol.114
Number (no) 495
Page pp.pp.-
#Pages 6
Date of Issue