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All Technical Committee Conferences (Searched in: All Years)
| 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 |
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