Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MICT, ASN, MoNA (Joint) |
2015-01-26 13:30 |
Wakayama |
Nanki Shirahama |
An Application Recommendation System Considering Device Condition Daichi Hasumi, Eiji Kamioka (Shibaura Inst. of Tech.) MoNA2014-65 |
We have proposed an application recommendation system, which predicts an application function that a user wants to use c... [more] |
MoNA2014-65 pp.41-46 |
HCS |
2014-08-22 13:30 |
Kyoto |
|
Analysis of Tasting Expressions for Japanese Sake Kengo Yamaguchi, Hiroko Otsuka (Future Univ. Hakodate) HCS2014-44 |
The purpose of this study is to develop the interactive recommendation system of the Japanese Sake.
Furthermore, we cl... [more] |
HCS2014-44 pp.7-12 |
AI, SC |
2014-08-20 15:15 |
Tokyo |
National Institute of Informatics |
Tensor Factorization that utilizes Linked Open Data Makoto Nakatsuji, Hiroyuki Toda, Hiroshi Sawada (NTT) AI2014-14 SC2014-11 |
(To be available after the conference date) [more] |
AI2014-14 SC2014-11 pp.19-24 |
IT |
2014-07-17 14:50 |
Hyogo |
Kobe University |
A study of a MDP-based recommender system when the class of user who is recommended items is unknown Shusuke Iwai, Nozomi Miya (Waseda Univ.), Yasunari Maeda (Kitami Institute of Technology), Toshiyasu Matsushima (Waseda Univ.) IT2014-20 |
Recommender system is a system that gives users objects,information and items they want.In previous studies,recommendati... [more] |
IT2014-20 pp.49-54 |
NLC |
2014-06-15 11:30 |
Fukuoka |
Kyushu Institute of Technology |
Proposals to recommendation engine development of human resources in social media. Kenichi Sakaguchi (Technosolution) NLC2014-15 |
(To be available after the conference date) [more] |
NLC2014-15 pp.81-84 |
NC, MBE (Joint) |
2014-03-17 15:40 |
Tokyo |
Tamagawa University |
Analysis of the MovieLens dataset using Tensor SOM Yosuke Date, Yasuhiro Wakita, Toru Iwasaki, Tetsuo Furukawa (Kyushu Inst. of Tech.) NC2013-99 |
Tensor SOM is an extension of Self-Organizing Map (SOM) from vectorial data to tensorial ones. The aim of this paper is ... [more] |
NC2013-99 pp.63-68 |
MoNA |
2013-08-01 14:55 |
Hokkaido |
Hokkaido University |
A Recommendation Method for Dinner Recipes with Comprehensive Consideration of Multiple Factors Hiroaki Ihara, Morihiko Tamai, Keiichi Yasumoto (NAIST) MoNA2013-14 |
In this paper, we propose a recommender system for dinner recipes.
The decision making of dinner recipes is troublesom... [more] |
MoNA2013-14 pp.7-12 |
IBISML |
2013-07-18 13:25 |
Tokyo |
Nishiwaseda Campus (Waseda univ.) |
A Simultaneous Completion Method for Multiple Relational Data Yutaka Ieiri, Hisashi Kashima (Univ. Tokyo) IBISML2013-6 |
In this paper, we consider a completion problem of
multiple relational data sets with missing values.
In cases where ... [more] |
IBISML2013-6 pp.35-41 |
IBISML |
2013-07-18 13:50 |
Tokyo |
Nishiwaseda Campus (Waseda univ.) |
An improvement of a Neutrality Term in an Information-neutral Recommender System Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh (AIST), Jun Sakuma (Univ. of Tsukuba) IBISML2013-7 |
Information-neutral recommender systems aim to make recommendations whose neutrality from the specified viewpoint is gua... [more] |
IBISML2013-7 pp.43-50 |
NLC |
2012-12-19 11:15 |
Tokyo |
Ookayama Campasu, Tokyo Institute of Technology |
Sightseeing location recommendation using tourism information on the Web Hisashi Uehara, Kazutaka Shimada, Tsutomu Endo (Kyutech) NLC2012-35 |
This paper describes a prototype system of sightseeing location recommendation. It integrates user's need and characteri... [more] |
NLC2012-35 pp.13-18 |
IBISML |
2012-11-07 15:30 |
Tokyo |
Bunkyo School Building, Tokyo Campus, Tsukuba Univ. |
Recommendation with User Stereotyping Tatsuya Osame (Univ. of Tsukuba), Jun Sakuma (Univ. of Tsukuba/JST) IBISML2012-63 |
Prediction accuracy of recommendation algorithm with user-item rating matrices can be improved by making use of user att... [more] |
IBISML2012-63 pp.205-212 |
LOIS, IPSJ-CN, IPSJ-SPT |
2012-05-18 10:00 |
Chiba |
Chiba Institute of Technology |
Design and implementation of the video recommender system based on evaluation of sevearl algorithms Akira Kataoka, Atsunobu Kimura, Shigenori Ohashi, Akira Nakayama, Tatsuro Ishida, Makoto Nakatsuji, Yutaka Kabutoya, Taiga Yoshida, Shinji Fukatsu, Hitoshi Seshimo, Yukinobu Taniguchi, Akihito Akutsu, Hideo Suzuki (NTT) LOIS2012-4 |
We develop a video recommender system which includes several recommendation algorithms. The architecture of our system a... [more] |
LOIS2012-4 pp.73-77 |
CNR |
2012-02-27 14:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg |
A Recommendation Cloud System for Robot Application considering Robot Hardware Configuration Takahiro Kagami, Masayasu Ogata, Hirotaka Osawa, Michita Imai (Keio Univ.) CNR2011-34 |
In this paper, we propose a recommendation cloud system by robot hardware configuration which allows user to select a ro... [more] |
CNR2011-34 pp.19-23 |
LOIS, ICM |
2012-01-19 14:00 |
Kumamoto |
Sojo Univ. |
A Recommendation System for a Fashion Coordination based on User's Information Ying Zhao, Kenji Araki (Hokkaido Univ.) ICM2011-33 LOIS2011-58 |
In this paper we present a recommendation system that can help users to coordinate clothes in different situations by us... [more] |
ICM2011-33 LOIS2011-58 pp.13-18 |
AI |
2011-11-21 15:20 |
Fukuoka |
|
Rule Extraction from Twitter Using Inductive Logic Programming Noriaki Chikara (TCT), Miyuki Koshimura, Hiroshi Fujita, Ryuzo Hasegawa (Kyushu Univ.) AI2011-25 |
There are a lot of information recommender systems on the Web. These systems aim to find and provide useful information ... [more] |
AI2011-25 pp.49-51 |
KBSE |
2011-11-10 14:00 |
Nagano |
Shinshu Univ. |
A Support System for Helping to Understanding a Project in Software Maintenance Using Structure of Program Package Hiroaki Yamada, Atsuo Hazeyama (Tokyo Gakugei Univ.) KBSE2011-41 |
In recent years, information technology evolves. Along with the tread, software development becomes more large-scale and... [more] |
KBSE2011-41 pp.31-36 |
SS |
2011-03-07 13:55 |
Okinawa |
Okinawa-ken Seinen Kaikan |
Reusability Evaluation of Past Bug Fixes in Open Source Repositories Masaru Shiozuka (KIT), Naoyasu Ubayashi (Kyushu Univ.) SS2010-61 |
Programmers tend to spend much time for debugging in which they check the erroneous phenomena, navigate the code, search... [more] |
SS2010-61 pp.49-54 |
AI |
2010-11-19 13:25 |
Fukuoka |
Kyushu Univ. |
A recommender engine using random forest
-- An algorithm and its performance -- Tsunenori Ishioka (NCUEE) AI2010-36 |
A recommender system contest was conducted last year sponsored by the Operational Research Society of Japan, Japanese So... [more] |
AI2010-36 pp.31-36 |
IBISML |
2010-11-04 15:00 |
Tokyo |
IIS, Univ. of Tokyo |
[Poster Presentation]
An Application of Generalized Linear Model for Recommender System
-- Rating Estimation Based on Main-Effect Model -- Yu Fujimoto (Aoyama Gakuin Univ.) IBISML2010-68 |
Collaborative filtering based on a rating matrix is broadly used in recommender systems. In a practical situation, the m... [more] |
IBISML2010-68 pp.65-71 |
AI |
2010-09-28 11:25 |
Kyoto |
Kyoto Univ. Clock Tower Centennial Hall |
An Implementation of Goal-Oriented Recipe Recommendation System with Nourishment Information Masashi Iwakami, Satoshi Ando, Takayuki Ito (Nagoya Inst. of Tech.), Masaaki Tanaka (Suzuka Jr. Coll.) AI2010-23 |
Although professional knowledge about the nourishment is necessary to decide daily recipes for making our condition bett... [more] |
AI2010-23 pp.7-12 |