| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME, AIT, MMS, IEICE-IE, IEICE-ITS, SIP [detail] |
2025-02-19
11:10 |
Hokkaido |
Hokkaido Univ. |
[Special Talk]
A Note on Supporting Interior Coordination Using Image Generation and Complementary Recommendation Techniques
Keigo Sakurai, Hiroki Okamura, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a method for supporting interior coordination by leveraging image generation and complementary... [more] |
MMS2025-29 ME2025-29 AIT2025-29 SIP2025-29
pp.139-143 |
| AIT, IIEEJ, AS, CG-ARTS |
2023-03-06
12:40 |
Tokyo |
Tokyo Polytechnic Univ. (Nakano)
(Primary: On-site, Secondary: Online) |
A method of recommending new animated films based on personal preferences.
Mao Midorikawa, Michio Shiraishi (Toho Univ.) |
We propose a method of recommending new animated films based on personal preferences. Development of an application to s... [more] |
AIT2023-116
pp.287-288 |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [detail] |
2022-02-22
13:30 |
Online |
online |
What Kind of Images to Post on Instagram? Image Recommendation for Marketing
Yiwei Zhang, Toshihiko Yamasaki (UTokyo) |
Social media is a popular platform for brands to allocate marketing budget and build their relationship with customers n... [more] |
|
| ME |
2022-02-12
09:00 |
Online |
online |
Construction of an automatic music recommendation system based on user's physical condition
Yuma Ishii, Yasuyuki Saito (NITKC) |
Various streaming services are becoming more and more popular, and users can access many songs by using these services. ... [more] |
ME2022-1
pp.1-4 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
16:15 |
Online |
Online |
A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] |
MMS2021-12 ME2021-12 AIT2021-12
pp.59-63 |
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-28
14:40 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
Feature Interaction based Neural Network for Pair Matching Prediction
Luwei Zhang, Xueting Wang (UTokyo), Shintaro Kaneko, Yusuke Usui, Mizuki Kobayashi, Hiroki Kojima (eureka), Toshihiko Yamasaki (UTokyo) |
Online dating services have become popular in modern society. Pair matching prediction between two users in these servic... [more] |
|
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
User Interface for Tourist Spot Recommendation Applying Generic Object Recognition with Travel Photos
Risa Kitamura, Takayuki Itoh (Ochanomizu Univ.) |
Thanks to the recent spread of digital devices, people can take photos easily anytime, and anywhere. Therefore, photos c... [more] |
AIT2019-131
pp.287-290 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
14:00 |
Tokyo |
Waseda Univ. |
A Music Recommendation System Considering the Location-based Ordinariness
Narumi Kuroko (Ocha Univ.), Hayato Oya (RecoChoku), Takayuki Itoh (Ocha Univ.) |
The mainstream of the music media purchase has moved from discs such as CDs to distribution via the Internet. Also, the ... [more] |
AIT2019-146
pp.341-344 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
11:45 |
Hokkaido |
Hokkaido Univ. |
A Note on Twitter Followee Recommendation Based on Adaptive Integration of Multiple Classification Results
Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a recommendation method of users who are expected to be followed by a target user in Twitter. The pr... [more] |
MMS2019-35 HI2019-35 ME2019-57 AIT2019-35
pp.307-310 |
| AIT, IIEEJ, AS, CG-ARTS |
2018-03-16
10:45 |
Tokyo |
Tokyo University of Technology |
Tourist Spot Recommendation Applying Generic Object Recognition with Travel Photos
Risa Kitamura, Takayuki Itoh (Ochanomizu Univ.) |
Thanks to the recent spread of smartphones and tablets, people can take photos easily anytime, and anywhere. Therefore, ... [more] |
AIT2018-94
pp.185-188 |
| AIT, IIEEJ, AS, CG-ARTS |
2017-03-14
14:45 |
Tokyo |
Ochanomizu Univ. |
Tourist Spot Recommendation by Generic Object Recognition of Personal Travel Photography
Risa Kitamura, Akihisa Kodate (Tsuda College), Takayuki Itoh (Ochanomizu Univ.) |
In recent years, due to the spread of smartphones and tablets, we can take photos anytime and anywhere and photo is beco... [more] |
AIT2017-145
pp.343-345 |
| CE, MMS, AIT, HI, ME, IEICE-ITS, IEICE-IE [detail] |
2017-02-20
11:30 |
Hokkaido |
Hokkaido Univ. |
A note on quantification of relationship between users and musical pieces using graph structure analysis (2)
-- Verification of using link prediction --
Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a quantification method of relationship between users and musical pieces.Our proposed relationship i... [more] |
MMS2017-2 CE2017-2 HI2017-2 ME2017-26 AIT2017-2
pp.31-34 |
| HI, IEICE-IE, AIT, IEICE-ITS, ME, MMS, CE [detail] |
2016-02-22
16:00 |
Hokkaido |
Hokudai |
A Note on Quantification of Relationship between Users and Musical Pieces Using Graph Structure Analysis
Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a quantification method of relationship between users and musical pieces using graph structure analy... [more] |
MMS2016-25 CE2016-25 HI2016-25 ME2016-58 AIT2016-25
pp.209-212 |