Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
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 |
KBSE |
2020-03-07 14:30 |
Okinawa |
Tenbusu-Naha (Cancelled but technical report was issued) |
Function recommendation system considering software usage purpose Yuji Doken (Waseda Univ.), Hajime Iwata (Kanagawa Inst. of Tech), Junko Shirogane (Tokyo Woman's Christian Univ.), Yoshiaki Fukazawa (Waseda Univ.) KBSE2019-59 |
(To be available after the conference date) [more] |
KBSE2019-59 pp.79-84 |
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 |
DE, IPSJ-DBS |
2019-12-24 09:35 |
Tokyo |
National Institute of Informatics |
A Book Prediction Model Based on User's Book Arrangement and It's Evaluation Tatsuya Miyamoto, Daisuke Kitayama (Kogakuin Univ.) DE2019-21 |
In recent years, the evaluation of recommender systems has focused on not only accuracy but other aspects.
This is bec... [more] |
DE2019-21 pp.1-5 |
ISEC, SITE, LOIS |
2019-11-02 15:50 |
Osaka |
Osaka Univ. |
A Note on Encryption-based Recommender Systems Seiya Jumonji, Kazuya Sakai (TMU) ISEC2019-85 SITE2019-79 LOIS2019-44 |
Collaborative filtering recommends unknown contents to a user based on the past behavior or review of the user and is us... [more] |
ISEC2019-85 SITE2019-79 LOIS2019-44 pp.149-152 |
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 |
IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-14 10:50 |
Kagoshima |
Kagoshima University |
Recommendation for Rental House based on Personal Preference Yang Cao (UEC), Shinichi Nunoya, Yusuke Suzuki, Masachika Suzuki, Yosio Asada (AVANT Corporation), Hiroki Takahashi (UEC) IMQ2018-32 IE2018-116 MVE2018-63 |
For real estate agent, it’s hard to understand users’ preference correctly by vocabulary and make proper recommenda-tion... [more] |
IMQ2018-32 IE2018-116 MVE2018-63 pp.55-60 |
MSS, SS |
2019-01-16 14:05 |
Okinawa |
|
User Preference Extraction Method and Its Rating Scale with Associative Mining and Workflow Net Mohd Anuaruddin Bin Ahmadon (Yamaguchi Univ.), Piyatida Sakorn (Kasetsart Univ.), Shingo Yamaguchi (Yamaguchi Univ.) MSS2018-75 SS2018-46 |
ecommender systems have been widely used to improved customer experienced and to support personalized service to the con... [more] |
MSS2018-75 SS2018-46 pp.115-119 |
IBISML |
2018-11-05 15:10 |
Hokkaido |
Hokkaido Citizens Activites Center (Kaderu 2.7) |
[Poster Presentation]
Recommendation for Market Places using Non-negative Matrix Factorization and MDL Priciple Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Junichi Takeuchi (Kyushu Univ.) IBISML2018-96 |
We apply the rank selection method for non-negative matrix factorization (NMF) based on
MDL criterion which was propose... [more] |
IBISML2018-96 pp.389-395 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 14:15 |
Okinawa |
Okinawa Institute of Science and Technology |
Data Analysis for Market Places by Non-negative Matrix Factorization and MDL Criterion Yosuke Arano (Kyushu Univ.), Yusuke Miyake (GMO Pepabo), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2018-8 |
The rank selection method for non-negative matrix factorization (NMF) based on MDL criterion which was proposed by [Yama... [more] |
IBISML2018-8 pp.53-60 |
NLC |
2017-09-07 15:10 |
Tokyo |
Seikei University |
[Invited Talk]
Data Driven Service Development and Utilization of Text Analytics In Gunosy Inc. Yoshifumi Seki (Gunosy/Tokyo Univ.) NLC2017-19 |
(Advance abstract in Japanese is available) [more] |
NLC2017-19 p.33 |
NLC |
2017-09-08 14:00 |
Tokyo |
Seikei University |
Design and Implementation of Personalized News Recommendation System Takeshi Yoneda, Mitsumasa Kubo, Yoshifumi Seki (Gunosy) NLC2017-28 |
Personalization of news recommendation systems is hard because of timeliness of news articles and imbalanced user logs. ... [more] |
NLC2017-28 pp.71-74 |
WIT |
2017-08-29 11:00 |
Akita |
Faculty of Engineering Science, Akita Univ. |
Recommendation of travel destination through Nonverbal Information using Color Change Prediction Characteristics Extraction Masayoshi Namasu, Sawako Nakajima, Kazutaka Mitobe (Akita Univ.) WIT2017-24 |
The current traveling destination recommendation search system is primarily based on verbal information using words as c... [more] |
WIT2017-24 pp.55-59 |
DE |
2017-06-23 16:20 |
Tokyo |
|
DE2017-6 |
(To be available after the conference date) [more] |
DE2017-6 p.23 |
LOIS |
2017-03-03 09:40 |
Okinawa |
N.Ohama Memorial Hall |
Application of distributed representations of words to tourist spots recommendation system Ryota Kaichi, Yasuhiko Higaki (Chiba Univ.) LOIS2016-85 |
The purpose of this study is to examine the optimum condition for applying distributed representations of words to recom... [more] |
LOIS2016-85 pp.129-134 |
AI, JSAI-KBS, JSAI-DOCMAS, JSAI-SAI, IPSJ-ICS |
2017-03-02 - 2017-03-05 |
Hokkaido |
|
Construction of Tourist Spot Recommendation System Assumed Robot Conversation Kento Kubota, Seiji Tsuchiya, Hirokazu Watabe (Doshisya-U) AI2016-41 |
Recently, realization of intelligent robot that can take smooth communication with humans has been required in various f... [more] |
AI2016-41 pp.1-6 |
RCS, RCC, ASN, NS, SR (Joint) |
2016-07-22 11:40 |
Aichi |
|
Friend Suggestions Method Based on Node Degree Distribution in Social Recommender System Jin-cheng Zhang (USST), Yasuhiro Urayama, Takuji Tachibana (Univ. of Fukui) NS2016-71 |
In some online services such as Amazon, a social recommender system is considered to improve the effective of the recomm... [more] |
NS2016-71 pp.109-112 |
LOIS |
2016-03-03 13:20 |
Okinawa |
Central Community Center, Miyakojima-City |
Recommendation system of tourist spots using distributed representations of words Ryota Kaichi, Yasuhiko Higaki (Chiba Univ.) LOIS2015-71 |
Web search has been used as a means to obtain tourist information. The Web search is a problem that Web search can’t get... [more] |
LOIS2015-71 pp.45-50 |
LOIS, IPSJ-DC (Joint) |
2015-07-14 09:30 |
Hokkaido |
Future University Hakodate |
Recommendation system of tourist spots using large amounts of tourism information Ryota Kaichi, Yasuhiko Higaki (Chiba Univ) LOIS2015-14 |
The authors developed recommendation system of tourist spots that is based on the latent interest. Latent interest was a... [more] |
LOIS2015-14 pp.29-34 |
CQ, IMQ, MVE, IE (Joint) [detail] |
2015-03-03 15:10 |
Tokyo |
Seikei Univ. |
Prediction of personal dietary habits based on summarized expressions of meal names Ryota Komiyama, Sosuke Amano, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log) IMQ2014-37 IE2014-98 MVE2014-85 |
We tried to extract characteristics of personal dietary habits by abstracting a vast amount of personal food records acc... [more] |
IMQ2014-37 IE2014-98 MVE2014-85 pp.55-56 |