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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
CQ 2019-08-27
10:10
Hokkaido Hakodate arena Analysis of Folksonomical Similarities between Knowledge Tagging and 5G Wireless
Nami Kuge, Marat Zhanikeev (Tokyo Univ. of Science) CQ2019-59
Having defined folksonomy as using non-standard keywords, this paper looks for folksonomical similarities between conten... [more] CQ2019-59
pp.13-18
CQ, CBE
(Joint)
2019-01-17
10:30
Tokyo Tokyo Metropolitan Univ. Synthetic Trace Generation for Tag Based File Management Systems
Nami Kuge, Marat Zhanikeev (Tokyo Univ. of Science) CQ2018-76
With rapidly growing volume of enterprise data, there is a need for tag-based file management system. However, while the... [more] CQ2018-76
pp.1-6
MVE, ITE-HI, HI-SIG-VR 2015-07-03
11:00
Tokyo   Spatial and Temporal Analysis of Influential Tags on Social-Popularity in Image Sharing Services
Jiani HU, Toshihiko Yamasaki, Kiyoharu Aizawa (The University of Tokyo), Tao Mei (Microsoft Research) MVE2015-20
Billions of photographs are uploaded to the Internet every day through various photo and video sharing services. With th... [more] MVE2015-20
pp.73-78
NC 2015-01-29
15:00
Fukuoka Kyushu Institute of Technology Metromaps as a Tool for Minimizing Human Interaction with Learning Bayesian Classifiers
Marat Zhanikeev (Kyutech) NC2014-59
The traditional use of Bayesian classifiers is to have one period of learning followed by continuous application of the ... [more] NC2014-59
pp.11-14
MVE 2014-10-09
17:05
Hokkaido   Social Popularity Score : Predicting Views, Comments, and Favorites of Social Photos using Annotations
Shumpei Sano, Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) MVE2014-40
In this paper, we propose an algorithm to predict the social popularity (i.e., the numbers of views, comments, and fav
... [more]
MVE2014-40
pp.69-74
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
AI 2009-05-22
11:00
Tokyo   Unsupervised extraction of content-related annotations
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda (NTT) AI2009-3
(To be available after the conference date) [more] AI2009-3
pp.13-18
AI 2008-06-30
14:35
Tokyo Kwansei Gakuin University, Tokyo Marunouchi Campus Extracting Time and Location Concepts Related to Tags
Yukino Baba (Tokyo Univ.), Fuyuki Ishikawa (NII), Shinichi Honiden (Tokyo Univ., NII) AI2008-9
To handle unstructured set of tags, textual labels annotated to Web contents, as structured data, we describe a method f... [more] AI2008-9
pp.51-56
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
LOIS, IPSJ-GN 2008-05-23
15:55
Chiba Keyaki Bldg, Chiba University Folksonomic extraction of knowledge for course selection
Hiroshi Nishijima, Sachiyo Arai, Yasuhiko Higaki, Syun Tutiya (Chiba Univ.) OIS2008-14
University students generally rely on the information through word of mouth among themselves,
course descriptions, and... [more]
OIS2008-14
pp.79-84
ICM, IN, LOIS
(Joint)
2007-01-19
11:00
Oita Beppu Convention Center(B-Con Plaza) Analysis of Tagging by Folksonomy in Contents of News Site
Ken Takanashi, Hirotsugu Kinoshita, Yasuhiro Inazumi (Kanagawa Univ.) IN2006-156
Currently, the user participation [ users raise the convenience of a web as Web2.0 ] type architecture attracts attentio... [more] IN2006-156
pp.109-114
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
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