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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Design of Interface Agent Inducing Video-mediated Co-eating Communications Naoki Ohshima (Toyohashi Univ. of Tech.), Hiroto Saito, Hiroko Tokunaga, Toshitaka Hanai, Chiaki Ogiwara, Naoki Mukawa (Tokyo Denki Univ.) |
“Remote co-dining communication,” which connects remote families with videos via a network for eating together, is consi... [more] | |
| ET | 2020-12-12 15:50 |
Online | Online | Smart code recommendation system for supporting the learning process of programming beginners Likun Liu, Yuta Taniguchi, Min Lu, Shin'ichi Konomi (Kyushu Univ.) ET2020-45 |
[more] | ET2020-45 pp.59-63 |
| KBSE | 2020-09-18 11:30 |
Online | Online | An Implementation of Improved Recommendation Function for Element Fill-in-Blank Problem at Offline Answering Function in Java Programming Learning Assistant System SuSandy Wint, Nobuo Funabiki, Minoru Kuribayashi, Yan Watequlis Syaifudin (Okayama Univ) KBSE2020-3 |
To offer self-study environments of Java programming, we have developed Java programming learning assistant system (JPL... [more] | KBSE2020-3 pp.13-18 |
| DE | 2020-06-27 10:05 |
Online | Online | A Recommendation Method of Health Article based on Association Rule for Health Terms Appeared on the Web Trinh Viet Thong, Takano Kosuke (KAIT) DE2020-4 |
This paper presents a recommendation method of health articles based on association rules for health terms appeared on W... [more] | DE2020-4 pp.19-24 |
| SC | 2020-05-29 13:55 |
Online | Online | An Efficient Recommendation System Based on Spectral Analysis of Review Data Koki Tozuka, Goutam Chakraborty, Masafumi Matsuhara, Hiroshi Mabuchi (Iwate Prefectural Univ) SC2020-2 |
The purpose of this research is to improve the accuracy of recommendation systems for real-world review data. With incre... [more] | SC2020-2 pp.7-11 |
| SC | 2020-03-16 15:45 |
Online | Online | Recommendation of Alternative Services Using Graph Embedding Koki Okubo, Yohei Murakami (Ritsumeikan Univ.) SC2019-48 |
Service clustering based on Web service description file (hereafter referred to as WSDL document) has been proposed to d... [more] | SC2019-48 pp.85-90 |
| ET | 2020-03-07 13:50 |
Kagawa | National Institute of Technology, Kagawa Collage (Cancelled but technical report was issued) |
An Extension of Recommendation Function in Topic Coverage for Element Fill- in-Blank Problems in Java Programming Learning Assistant System SuSandy Wint, Nobuo Funabiki, Minoru Kuribayashi (Okayama University) ET2019-102 |
A Web-based Java Programming Learning Assistant System (JPLAS) offers the element fill-in-blank problem (EFP) for novice... [more] | ET2019-102 pp.147-152 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 10:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Predicting Follow Behavior on Social Media via User-Hashtag Interaction Yiwei Zhang, Xueting Wang, Toshihiko Yamasaki (The Univ. of Tokyo) IMQ2019-42 IE2019-124 MVE2019-63 |
Following behavior prediction is an important task on social media since it represents users' preferences and could help... [more] | IMQ2019-42 IE2019-124 MVE2019-63 pp.137-142 |
| NS, IN (Joint) |
2020-03-06 09:50 |
Okinawa | Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
Privacy-preserving Recommendation based on Provider Coordination Daiki Himi, Taiju Mikoshi, Katsunori Oyama, Toshihiro Nishizono (Nihon Univ.) NS2019-215 |
This paper proposes a privacy preserving information recommendation method based on cooperation among providers. IDs of ... [more] | NS2019-215 pp.205-210 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-28 14:40 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
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) ITS2019-50 IE2019-88 |
Online dating services have become popular in modern society. Pair matching prediction between two users in these servic... [more] | ITS2019-50 IE2019-88 pp.299-304 |
| NLP, NC (Joint) |
2020-01-25 14:30 |
Okinawa | Miyakojima Marine Terminal | Expert User-Item Modeling Each Topics Based on Tensor SOM and Latent Dirichlet Allocation Tatsuya Kanatsu, Tetsuo Furukawa, Kaori Yoshida (Kyutech) NC2019-74 |
User-item modeling is the foundation of recommendation systems. In this paper, we propose a method of building a set of ... [more] | NC2019-74 pp.83-88 |
| ET | 2019-11-09 11:05 |
Hiroshima | Hiroshima City University | Shinya Seki, Kazuaki Ando (Kagawa Univ) ET2019-50 |
NIE (Newspaper in Education) is an educational approach that utilizes newspaper as teaching materials in classes. It is ... [more] | ET2019-50 pp.17-20 |
| NLC, IPSJ-DC | 2019-09-27 17:25 |
Tokyo | Future Corporation | Caputuring the correlation between consumers' preferences among different domains from E-commerce review data Gaia Suzuki, Masanao Ochi, Ichiro Sakata (The Univ. of Tokyo) NLC2019-15 |
Segmentation is essential for strategical marketing, but it is considered difficult to both divide market needs among di... [more] | NLC2019-15 pp.35-40 |
| MVE | 2019-08-30 09:00 |
Aichi | Factorization Machines based Neural Network for Pair Matching Prediction Luwei Zhang, Xueting Wang, Toshihiko Yamasaki (UTokyo) MVE2019-14 |
Online dating services have become popular in the modern society. Pair matching prediction between two users in these se... [more] | MVE2019-14 pp.49-54 |
|
| AI | 2019-07-22 15:55 |
Hokkaido | A Recommendation System using Auto-encoders for Data Divided on Item Densities Go Tanioka, Akihiro Inokuchi (KGU) AI2019-14 |
In recent years, deep learning have attracted attention in the field of machine learning, and its applications to the re... [more] | AI2019-14 pp.71-75 |
|
| CS, CQ (Joint) |
2019-04-19 14:25 |
Osaka | Osaka Univ. Library | Construction and Demonstration Experiment of Target Spot Information Extraction System based on General Object Recognition Technology Kubo Kouki, Wuyi Yue (Konan Univ.) CQ2019-6 |
In this paper, target spot information system with two functions of "extract function of surrounding spot information" u... [more] | CQ2019-6 pp.29-34 |
| IBISML | 2019-03-05 16:30 |
Tokyo | RIKEN AIP | Set transformer for coordinating outfits Takuma Nakamura, Yuki Saito (ZOZO Research) IBISML2018-108 |
We have evaluated Set Transformer, the permutation invariant neural network model, for selecting fashion items and gener... [more] | IBISML2018-108 pp.23-29 |
| IN, NS (Joint) |
2019-03-05 16:20 |
Okinawa | Okinawa Convention Center | Evacuation route recommendation system by DTN in disaster area using evacuee attribute Makoto Misumi, Noriaki Kamiyama (Fukuoka Univ.) NS2018-286 |
Information on evacuation shelters and evacuation routes are important for evacuees to evacuate safely and promptly when... [more] | NS2018-286 pp.533-538 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-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] | |
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