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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MSS, CAS, SIP, VLD 2023-07-07
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Masaaki Miyasita, Norihiko Shinomiya (Soka Univ.) CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
pp.143-146
CQ, CBE
(Joint)
2023-01-27
10:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Msaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2022-73
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2022-73
pp.69-72
IBISML 2022-09-15
11:20
Kanagawa Keio Univ. (Yagami Campus)
(Primary: On-site, Secondary: Online)
Selection Bias Analysis in Online Advertising
Shinya Suzumura, Hitoshi Abe, Shumpei Okura (YJ) IBISML2022-32
In online advertising, a set of potential advertisements can be ranked by a certain auction system where usually the top... [more] IBISML2022-32
pp.1-8
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-05
09:45
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Predicting the online video advertising effectiveness with multimodal deep learning
Jun Ikeda, Hiroyuki Seshime, Xueting Wang, Toshihiko Yamasaki, Kiyoharu Aizawa (UTokyo) IMQ2019-41 IE2019-123 MVE2019-62
In this research, we propose a method for predicting the Click Through Rate of video ads and analyzing the factors that ... [more] IMQ2019-41 IE2019-123 MVE2019-62
pp.133-136
ICSS, IPSJ-SPT 2018-03-08
10:10
Hokkaido Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center An Empirical Analysis of Online Advertising Fraud by analyzing User Activities Observed in the Ad Network
Fumihiro Kanei, Daiki Chiba, Yuta Takata, Mitsuaki Akiyama, Takeshi Yagi, Kunio Hato (NTT) ICSS2017-67
With the growth of online advertising market, it has become the target of abuse, such as ad fraud by adware and bots. To... [more] ICSS2017-67
pp.97-102
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