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 |