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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
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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