Presentation 2020-12-22
ユーザコンテキストと振る舞いに基づく推薦コンテンツ提示タイミングのモデル化
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Web clip and news feed applications have the functions to display a list of contents and save them. If the content is outdated or forgotten to be saved, or if the user cannot read the content at the time, the content remains buried and cannot be easily accessed again. To solve this problem, we create a model for the content from the user's context and the behavior at that time. We also developed a prototype that presents recommended content to users using the model we created.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) User-Context / News Recommendation / Recommender System / SVR / Behavior
Paper # DE2020-25
Date of Issue 2020-12-14 (DE)

Conference Information
Committee DE / IPSJ-DBS
Conference Date 2020/12/21(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Jun Miyazaki(Tokyo Inst. of Tech.) / 天笠 俊之(筑波大)
Vice Chair Shohei Yokoyama(Tokyo Metropolitan Univ.) / Naofumi Yoshida(Komazawa Univ.)
Secretary Shohei Yokoyama(NTT) / Naofumi Yoshida(AIST)
Assistant Saneyasu Yamaguchi(Kogakuin Univ.) / Shoko Wakamiya(NAIST) / 湯本 高行(兵庫県立大) / 片山 薫(都立大) / 宮森 恒(京都産業大) / 鈴木 伸崇(筑波大) / 上田 真由美(流通科学大学) / 福原 知宏(マルティスープ株式会社) / 若林 啓(筑波大)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System
Language JPN-ONLY
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English)
Sub Title (in English)
Keyword(1) User-Context
Keyword(2) News Recommendation
Keyword(3) Recommender System
Keyword(4) SVR
Keyword(5) Behavior
1st Author's Name
1st Author's Affiliation ()
2nd Author's Name
2nd Author's Affiliation ()
Date 2020-12-22
Paper # DE2020-25
Volume (vol) vol.120
Number (no) DE-305
Page pp.pp.48-52(DE),
#Pages 5
Date of Issue 2020-12-14 (DE)