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J-GLOBAL ID：202002248528300432
Reference number：20A0896290
ランキングバイアスの緩和に向けたポジティブ情報の利用と閲覧パターンの分析
Author (6)：
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Material：
Volume：
2020
Issue：
HCI-187
Page：
Vol.2020-HCI-187,No.5,1-7 (WEB ONLY)
Publication year：
Mar. 09, 2020
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
On J-GLOBAL, this item will be available after more than half a year after the record posted. In addtion, medical articles require to login to MyJ-GLOBAL.
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Man-machine system
, Applied psychology
Reference (21)：
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Eli Pariser: The Filter Bubble: What The Internet Is Hiding From You, Penguin Press (2012)
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平手勇宇, 吉田泰明, 山名早人: Web検索エンジンのランキングバイアスに関する研究動向, 第18回データ工学ワークショップ(DEWS2007)(2007)
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H. Lee, N. Chung and Y. Nam: Do online information sources really make tourists visit more diverse places?: Based on the social networking analysis, Information Processing & Management (2018)
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Y. Zhang, D. Séaghdha, D. Quercia and T. Jambor: Auralist: introducing serendipity into music recommendation, Proc. of the fifth ACM international conference on Web search and data mining (WSDM ’12), pp.13-22 (2012)
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M. Ge, C. Delgado-Battenfeld and D. Jannach: Beyond accuracy: evaluating recommender systems by coverage and serendipity, Proc. of the fourth ACM conference on Recommender systems (RecSys ’10), pp. 257-260 (2010)
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Terms in the title (5)：
Terms in the title
Keywords automatically extracted from the title.
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