Presentation 2021-07-24
Examination of personalization improvement of spot recommendation system considering personality characteristics
Momo Ito, Miki Enoki, Masato Oguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
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Keyword(in English)
Paper # DE2021-9
Date of Issue 2021-07-17 (DE)

Conference Information
Committee DE
Conference Date 2021/7/24(1days)
Place (in Japanese) (See Japanese page)
Place (in English) KAIT IT extension center (Hybrid)
Topics (in Japanese) (See Japanese page)
Topics (in English) Social Computing
Chair Naofumi Yoshida(Komazawa Univ.)
Vice Chair Akiyoshi Matono(AIST) / Yu Suzuki(Gifu Univ.)
Secretary Akiyoshi Matono(Kanagawa Inst. of Tech.) / Yu Suzuki(Osaka Univ.)
Assistant Ken Honda(Komazawa Univ.) / Hiroki Nomiya(Kyoto Inst. of Tech)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Examination of personalization improvement of spot recommendation system considering personality characteristics
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
1st Author's Name Momo Ito
1st Author's Affiliation Ochanomizu University(Ochanomizu Univ.)
2nd Author's Name Miki Enoki
2nd Author's Affiliation IBM Research - Tokyo(IBM Research - Tokyo)
3rd Author's Name Masato Oguchi
3rd Author's Affiliation Ochanomizu University(Ochanomizu Univ.)
Date 2021-07-24
Paper # DE2021-9
Volume (vol) vol.121
Number (no) DE-125
Page pp.pp.46-51(DE),
#Pages 6
Date of Issue 2021-07-17 (DE)