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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS | 2024-04-11 15:30 |
Okayama | Okayama Prefectural Library + Online (Primary: On-site, Secondary: Online) |
[Invited Talk]
Trust in the Recommender System and its Prediction based on the Performance Beliefs Yoshinori Hijikata (KGU)  NS2024-4 |
This paper introduces our study on users’ perceived trust in the recommendation system. In recent years, as represented ... [more] | NS2024-4 pp.17-22 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-14 09:50 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Hierarchical textile pattern aesthetic prediction using multi-task CNN Nonomi Yamashita (Kwansei Gakuin Univ.), Kensuke Tobitani (Univ. of Nagasaki), Miyuki Toga, Noriko Nagata (Kwansei Gakuin Univ.) IMQ2023-39 IE2023-94 MVE2023-68 |
The aim of this study is to construct a model for estimating impressions and emotions based on the hierarchical structur... [more] | IMQ2023-39 IE2023-94 MVE2023-68 pp.150-153 |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 09:50 |
Okinawa | Okinawa Sangyo Shien Center (Primary: On-site, Secondary: Online) |
Study on Eye Gaze-Based Personalized News Recommendations from Web Pages Yuko Hoshino, Rintaro Yanagawa, Shinichi Kiyota, Shu Iwasa (Tokai univ.), Eriko Ishii (Kagoshima Pref. Col.), Mitsuho Yamada (Tokai univ.) IMQ2023-61 IE2023-116 MVE2023-90 |
Information gathering via Internet, such as web browsing and social networking, is widespread, and the demand for inform... [more] | IMQ2023-61 IE2023-116 MVE2023-90 pp.264-269 |
| LOIS, ICM | 2024-01-25 15:40 |
Nagasaki | Nagasaki Prefectural Art Museum (Primary: On-site, Secondary: Online) |
A Study of Complementary Recommendation Focused on Functional Aspects Kai Sugahara, Chihiro Yamasaki, Yuma Nagi, Kazushi Okamoto (UEC) ICM2023-31 LOIS2023-35 |
Complementary recommendation is a task of recommending items that should be purchased together with an item. In previous... [more] | ICM2023-31 LOIS2023-35 pp.17-22 |
| CQ, CBE (Joint) |
2024-01-25 16:10 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
[Invited Talk]
Psychological Evaluation of Trust in the Recommender System Yoshinori Hijikata (KGU) CQ2023-58 |
This paper describes the author's development and validation of a recommendation acceptance tendency scale that measures... [more] | CQ2023-58 pp.37-42 |
| KBSE, SC | 2023-11-18 10:20 |
Miyagi | Sento Kaikan | Towards Standardized Data Model for Service Recommendation Based on User Needs Takuya Nakata, Sinan Chen (Kobe Univ.), Sachio Saiki (Kochi Univ. of Tech.), Masahide Nakamura (Kobe Univ.) KBSE2023-44 SC2023-27 |
Due to the internet's proliferation, digital devices, and COVID-19's impact, online service use has soared, driving dema... [more] | KBSE2023-44 SC2023-27 pp.57-62 |
| HCS, CNR | 2023-11-05 11:15 |
Tokyo | Kogakuin University (Primary: On-site, Secondary: Online) |
Proposal and Evaluation of Recommendation Acceptance Tendency Scale for Overtrust Awareness Yoshinori Hijikata, Reika Miwa, Aika Tsuchida (KGU), Masahiro Hamasaki, Masataka Goto (AIST) CNR2023-10 HCS2023-72 |
As services providing recommendations or judgments of AI (artificial intelligence) become popular, the problem of "recom... [more] | CNR2023-10 HCS2023-72 pp.15-20 |
| AI | 2023-09-12 15:15 |
Hokkaido | A recommender system based on a knowledge graph of anime contents integrating multiple data sources Yuki Saito (UEC), Shusaku Egami (AIST), Yuichi Sei, Yasuyuki Tahara, Akihiko Ohsuga (UEC) AI2023-30 |
In recent years, the demand for Video-On-Demand (VOD) services has been rapidly increasing due to the impact of the spre... [more] | AI2023-30 pp.172-179 |
|
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 16:25 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Minorization-Maximization for Determinantal Point Processes Takahiro Kawashima (SOKENDAI), Hideitsu Hino (ISM/RIKEN) NC2023-7 IBISML2023-7 |
A determinantal point process (DPP) is a powerful probabilistic model that generates diverse random subsets from a groun... [more] | NC2023-7 IBISML2023-7 pp.39-47 |
| EMM | 2023-03-02 13:00 |
Nagasaki | Fukue culture hall (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Clothes recommendation system based on user's latent interests extracted from vectors of clothes images Daishi Tanaka, Michiharu Niimi (KIT) EMM2022-75 |
As the fashion and apparel industry is becoming more and more e-commerce, if you want to buy clothes online such as e-co... [more] | EMM2022-75 pp.44-49 |
| ICTSSL, CAS | 2023-01-26 10:45 |
Tokyo | TBD (Primary: On-site, Secondary: Online) |
On a social game recommendation system using collaborative filtering with Julia Yoshiaki Shinjo, Ami Ukai, Hitoshi Miyamoto, Shun Nanai, Shunsuke Ohata, Takuto Ono, Tomoki Akiyama, Kotarou Naitou, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-64 ICTSSL2022-28 |
In this report, we consider and discuss how to build a social game recommendation system using collaborative filtering w... [more] | CAS2022-64 ICTSSL2022-28 pp.14-17 |
| CS | 2022-10-27 10:30 |
Hiroshima | Hiroshima City University Satellite campus (Primary: On-site, Secondary: Online) |
[Invited Lecture]
Design and Development of Intelligent Social Support Systems for Mental Healthcare Siriaraya Panote (KIT) CS2022-43 |
In this presentation, we introduce two projects related to the research and development of intelligent systems aimed at ... [more] | CS2022-43 pp.3-8 |
| HCS | 2022-08-27 14:45 |
Hyogo | (Primary: On-site, Secondary: Online) |
Factor Analysis of the Overtrust Scale for Recommender Systems Reika Miwa, Aika Tsuchida, Yoshinori Hijikata (KGU), Masahiro Hamasaki, Masataka Goto (AIST) HCS2022-46 |
Recommender systems have been used in many online services. People may have come to accept the recommended items without... [more] | HCS2022-46 pp.55-60 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 13:35 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Building a Federated Personalized Recommendation Model to Balance Similarity and Diversity Masahiro Hamada, Taisho Sasada, Yuzo Taenaka, Youki Kadobayashi (NAIST) NS2022-46 |
With the spread of on-demand movie distribution, personalized movie recommendations that match user preferences are requ... [more] | NS2022-46 pp.100-105 |
| HCS | 2022-01-28 09:40 |
Online | Online | Proposal of an Overtrust Scale of Users in Recommender Systems Aika Tsuchida, Reika Miwa, Yoshinori Hijikata (KGU), Masahiro Hamasaki, Masataka Goto (AIST) HCS2021-43 |
Recommender systems have been used in many online services, and people have been exposed to such recommendations frequen... [more] | HCS2021-43 pp.1-6 |
| COMP | 2021-12-03 11:40 |
Ishikawa | Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
[Short Paper]
A recommendation algorithm based on data polish Shu Kumanogo, Mitsuo Motoki (Kanazawa Inst. of Tech.) COMP2021-24 |
Data polish is a methodology to reduce the number of similar maximal cliques in a given network by adding edges between ... [more] | COMP2021-24 pp.19-22 |
| DE | 2021-07-24 13:05 |
Kanagawa | KAIT IT extension center (Hybrid) (Primary: On-site, Secondary: Online) |
Examination of personalization improvement of spot recommendation system considering personality characteristics Momo Ito (Ochanomizu Univ.), Miki Enoki (IBM Research - Tokyo), Masato Oguchi (Ochanomizu Univ.) DE2021-9 |
(To be available after the conference date) [more] | DE2021-9 pp.46-51 |
| IBISML | 2021-03-03 14:25 |
Online | Online | Markov Decision Processes for Simultaneous Control of Multiple Objects with Different State Transition Probabilities in Each Cluster Yuto Motomura, Akira Kamatsuka, Koki Kazama, Toshiyasu Matsushima (Waseda Univ.) IBISML2020-49 |
In this study, we propose an extended MDP model, which is a Markov decision process model with multiple control objects ... [more] | IBISML2020-49 pp.47-54 |
| DE, IPSJ-DBS | 2020-12-22 13:05 |
Online | Online | DE2020-25 |
Web clip and news feed applications have the functions to display a list of contents and save them. If the content is o... [more] |
DE2020-25 pp.48-52 |
| DE | 2020-06-27 10:25 |
Online | Online | Bookmarking Forecast for Others' SNS Posts by Machine Learning of Activity Logs Komei Arasawa, Shun Hattori, Yasuo Kudo (Muroran Inst. of Tech.) DE2020-5 |
An advertising strategy called as "Viral Marketing" has public attention.It promotes an item and its company by using po... [more] | DE2020-5 pp.25-30 |
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