Presentation 1998/12/1
Keyword Recommendation Agent using History Data
Mitsuru Oda, Toshiro Minami, Jun Arima,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is fairly important to assist the users who are stuck in reminding appropriate keywords to those Web documents they are searching for. SASS(Searching Assistant with Social Selection) is a system to help such people by giving keywords that would meet their intention. The SASS system calculates the degrees of correlation to the history data of the sequences of keywords specified by the users so far. The most characteristic feature of this method is that the recommendations are made based on the data of the user's activities rather than the data given by the information providers.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Keyword Recommendation / Using History Data / Correlation / Idea Creating Recommendation / Web Documents
Paper # AI98-58
Date of Issue

Conference Information
Committee AI
Conference Date 1998/12/1(1days)
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Paper Information
Registration To Artificial Intelligence and Knowledge-Based Processing (AI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Keyword Recommendation Agent using History Data
Sub Title (in English)
Keyword(1) Keyword Recommendation
Keyword(2) Using History Data
Keyword(3) Correlation
Keyword(4) Idea Creating Recommendation
Keyword(5) Web Documents
1st Author's Name Mitsuru Oda
1st Author's Affiliation Netmedia Laboratory, Fujitsu Laboratories Ltd.()
2nd Author's Name Toshiro Minami
2nd Author's Affiliation Netmedia Laboratory, Fujitsu Laboratories Ltd.
3rd Author's Name Jun Arima
3rd Author's Affiliation Netmedia Laboratory, Fujitsu Laboratories Ltd.
Date 1998/12/1
Paper # AI98-58
Volume (vol) vol.98
Number (no) 437
Page pp.pp.-
#Pages 8
Date of Issue