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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
ET 2023-11-11
14:00
Kagawa Kagawa University Saiwai-cho (Main) Campus / Online
(Primary: On-site, Secondary: Online)
Development of a Book Recommendation System Based on Topic Analysis for Review Texts
Ryohei Kikuchi, Toru Kano (Ibaraki Univ.) ET2023-29
With the increase in the number of books, it has become difficult for readers to find books that match their personal ta... [more] ET2023-29
pp.27-31
DE, IPSJ-DBS 2019-12-24
09:35
Tokyo National Institute of Informatics A Book Prediction Model Based on User's Book Arrangement and It's Evaluation
Tatsuya Miyamoto, Daisuke Kitayama (Kogakuin Univ.) DE2019-21
In recent years, the evaluation of recommender systems has focused on not only accuracy but other aspects.
This is bec... [more]
DE2019-21
pp.1-5
ET 2019-12-07
10:10
Tokyo Tokyo University of Agriculture and Technology Design and development of a motivation maintaining system based on learners' proficiency and learning patterns
Hiroharu Kawashima, Kousuke Mouri, Keiichi Kaneko (TUAT) ET2019-58
Various digital textbook systems provide quiz as the method of review. However, it is difficult for majority of learners... [more] ET2019-58
pp.1-4
PRMU, CNR 2017-02-18
10:55
Hokkaido   Motivating Reading by Book Recommendation Robot Programmed by Children
Yusuke Kudo, Takuya Sato, Wataru Kayano, Hirotaka Osawa (Tsukuba Univ.) PRMU2016-162 CNR2016-29
School libraries are required to promote the habit of reading books in elementary school children. It is necessary to cu... [more] PRMU2016-162 CNR2016-29
pp.57-62
DE 2016-09-13
17:10
Kanagawa Keio Univ. (Hiyoshi Campus) Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers
Daichi Minami, Taketoshi Ushiama (Kyushu Univ.) DE2016-17
Today, it has become difficult for people to find books that fulfill their preference because the number of books in the... [more] DE2016-17
pp.31-36
HCS, HIP, HI-SIGCOASTER [detail] 2015-05-20
16:05
Okinawa Okinawa Industry Support Center A similarity search for finding suitable picture books for an child's interest and preference
Takashi Hattori, Tessei Kobayashi, Sanae Fujita, Yuko Okumura (NTT) HCS2015-36 HIP2015-36
Reading picture books has positive effect on children's development on language. To enhance the positive effect, an adeq... [more] HCS2015-36 HIP2015-36
pp.237-242
AI 2010-11-19
14:50
Fukuoka Kyushu Univ. Web page recommendation based on user's tagging tendency in social bookmark
Yuuki Kishibata, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2010-39
Recently, web page recommendation systems by using social bookmark services have been studied with development of inform... [more] AI2010-39
pp.49-53
ET 2010-05-28
15:10
Shiga Ritsumeikan Univ. An Attempt to Estimate Difficulty of Learned Books from Readers Network
Yasuo Miyoshi, Miya Irino (Kochi Univ.) ET2010-5
As a information recommendation technique, the collaborative filtering is applied generally. It recommends desired infor... [more] ET2010-5
pp.19-24
AI 2009-09-25
10:55
Kyoto Kyoto Univ. Clock Tower Development of Web Recommendation System Using Social Bookmark
Tomoyuki Ishibashi, Yuki Kaeri, Tatsuru Wakiya, Yusuke Manabe, Kenji Sugawara (Chiba Inst. of Tech.) AI2009-10
Recently there are a lot of contributions to develop recommendation system because of solving information overload probl... [more] AI2009-10
pp.7-12
ET 2009-03-07
11:55
Kagawa   Historical Timeline Authoring System having Timeline Recommendation Function in cooperation with Social Bookmark and Its Assessment
Katsuhito Nakagawa (Univ. of Tokushima), Yasuo Miyoshi (Kochi Univ.), Kenji Matsuura, Kazuhide Kanenishi, Yoneo Yano (Univ. of Tokushima) ET2008-98
In general history learning, a learner memorizes a pair of date and event only. However such a style cannot lead to unde... [more] ET2008-98
pp.29-34
AI 2008-06-30
16:20
Tokyo Kwansei Gakuin University, Tokyo Marunouchi Campus A Proposal of Web Recommendation Method Using Social Bookmark
Tomoyuki Ishibashi, Tatsuru Wakiya, Yuki Kaeri, Yusuke Manabe, Susumu Konno, Kenji Sugawara (CIT) AI2008-12
Recently, a lot of contributions of web recommendation system have been proposed to solve the information overload. Howe... [more] AI2008-12
pp.69-74
DE 2006-07-14
09:10
Niigata HOTEL SENKEI A Study of a Growing Meta-data Model for Content Recommendation on Folksonomies
Akira Sasaki, Takamichi Miyata (Tokyo Inst. Tech.), Yasuhiro Inazumi (Kanagawa Univ.), Aki Kobayashi (NIME), Yoshinori Sakai (Tokyo Inst. Tech.)
The web-based bookmark management service called social
bookmark has recently come to be widely used. In the social boo... [more]
DE2006-103
pp.67-72
ET 2005-05-14
10:05
Tokyo   An Adaptive Tool for Supporting Multiperspective Thinking on the Web
Hiroyuki Mitsuhara (Faculty of Engineering, Tokushima University), Kazuhide Kanenishi (test), Yoneo Yano (Faculty of Engineering, Tokushima University)
With the wide spread of the Internet, learners in digital age can explore the web proactively by following hyperlinks on... [more] ET2005-1
pp.1-6
 Results 1 - 13 of 13  /   
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