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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
DE 2021-07-24
10:20
Kanagawa KAIT IT extension center (Hybrid)
(Primary: On-site, Secondary: Online)
[Short Paper] COVID-19 and biased information dissemination on Twitter
Gefei Li (AIST/Waseda Univ.), Yijun Duan, Taehoon Kim, Kyoungsook Kim (AIST) DE2021-4
This study aims to examine if Twitter users with a higher level of similarity would have a more similar distribution of ... [more] DE2021-4
pp.18-21
MVE 2020-09-09
11:35
Online Online On modelling viewer sentiment of social media videos for attractive computing
Marc A. Kastner, Shin'ichi Satoh (NII) MVE2020-14
An understanding of human perception and sentiment can help with multimedia tasks like video recommendations. Having a m... [more] MVE2020-14
pp.21-26
NLC 2020-02-17
09:30
Tokyo Seikei University Group performance modeling using verbal and nonverbal information
Go Miura, Shogo Okada (JAIST) NLC2019-40
This paper presented computational analysis for predicting the group performance which is defined by
"product dimension... [more]
NLC2019-40
pp.21-26
CCS 2018-03-27
11:25
Tokyo Tokyo Univ. of Sci. (Morito Memorial Hall) [Invited Talk] Study on production and growth of novelties -- based on the Yule-Simon process --
Yasuhiro Hashimoto (Univ. of Tokyo) CCS2017-41
Novelties such as new words, new ideas, new research articles, and new patents, which have not existed in human societie... [more] CCS2017-41
pp.49-54
MVE, IE, CQ, IMQ
(Joint) [detail]
2017-03-07
09:30
Fukuoka Kyusyu Univ. Ohashi Campus *
Masahiro Shida, Yoshinari Kameda (Univ. of Tsukuba), Yuka Ishiduka (Keio Univ.), Airi Tsuji (Univ. of Tsukuba), Takuya Enomoto, Junichi Yamamoto (Keio Univ.), Kenji Suzuki, Itaru Kitahara (Univ. of Tsukuba) IMQ2016-39 IE2016-154 MVE2016-62
(To be available after the conference date) [more] IMQ2016-39 IE2016-154 MVE2016-62
pp.107-112
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
SIS 2012-03-01
15:45
Tokyo Shibuya Satellite Class, Tokyo City Univ. Development and evaluation of a Literature Reputation System with an Annotation Function
Ou Byou, Takahiro Ohtsuka, Hiroyuki Ebara (Kansai Univ.) SIS2011-65
Recent years, the service of social-reading has become popular with the development of E-book.
The social-reading is u... [more]
SIS2011-65
pp.67-72
DE 2010-08-04
11:00
Tokyo Aoyama Gakuin University Utilizing Social Annotations for User's Privacy Policy Management
Fan Zhongyi, Mizuho Iwaihara (waseda Univ.) DE2010-16
Social networking sites (SNSs) are recently becoming popular and SNSs help users to communicate with their friends. Peop... [more] DE2010-16
pp.13-18
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
DE 2008-12-01 Tokyo Gakushuin [Poster Presentation] Spammer Detection based on Tagging Behavior in Social Bookmarking Systems
Yoshihiko Suhara, Yukio Uematsu, Takafumi Inoue, Ryoji Kataoka (NTT Cyber Solutions Lab.) DE2008-54
In this paper, we consider that spammers in social bookmarking systems have different tagging behavior
from non-spammer... [more]
DE2008-54
pp.7-8
 Results 1 - 10 of 10  /   
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