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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
14:15
Okinawa Okinawa Convention Center Content Recommendation System Considering Cache State
Yuto Murakami, Yuma Fukagawa, Noriaki Kamiyama (Ritsumeikan Univ) NS2023-223
The demand for large-scale content such as music and videos has increased, and it drives up the internet traffic.
Conte... [more]
NS2023-223
pp.300-305
CS 2023-11-10
11:50
Shizuoka Plaza Verde Paper Recommendation Method for Similarity between Authors with Collaborative Filterings and Implementation of Keyword Search Support Based on Trend Ranking
Kubo Ryusei, Tsujioka Tetsuo, Takubo Tomohito, Noguchi Hiroshi (Osaka Metropolitan Univ.) CS2023-79
The paper search systems have provided finding interest papers to researchers in many years. A method for researchers to... [more] CS2023-79
pp.69-73
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-16
14:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
HOCF: Hyperbolic Optimization Collaborative Filtering
Chi Zhang, Toshihiko Yamasaki (UTokyo) IMQ2022-61 IE2022-138 MVE2022-91
As LightGCN reaches a very high performance using a very simple structure, a new question arises: why such a simple mode... [more] IMQ2022-61 IE2022-138 MVE2022-91
pp.200-205
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
09:45
Hokkaido Hokkaido Univ. Graph Collaborative Filtering for Video Recommendation
Luwei Zhang (UTokyo), Noboru Kanazawa (Softbank), Toshihiko Yamasaki (UTokyo) ITS2022-41 IE2022-58
The rapid growth in the number of videos on the Internet offers great potential for users to find the content of interes... [more] ITS2022-41 IE2022-58
pp.1-4
ICTSSL, CAS 2023-01-26
10:45
Tokyo TBD
(Primary: On-site, Secondary: Online)
On a social game recommendation system using collaborative filtering with Julia
Yoshiaki Shinjo, Ami Ukai, Hitoshi Miyamoto, Shun Nanai, Shunsuke Ohata, Takuto Ono, Tomoki Akiyama, Kotarou Naitou, Kazuya Ozawa, Hideaki Okazaki (SIT) CAS2022-64 ICTSSL2022-28
In this report, we consider and discuss how to build a social game recommendation system using collaborative filtering w... [more] CAS2022-64 ICTSSL2022-28
pp.14-17
LOIS, ICM 2023-01-19
15:50
Fukuoka Kitakyushu International Conference Center
(Primary: On-site, Secondary: Online)
Serendipity-aware niche content recommendation system
Shogo Kawasaki, Kunio Matsui (KIT) ICM2022-37 LOIS2022-37
In recent years, the Internet has seen the proliferation of e-commerce sites such as Amazon and Rakuten, and numerous di... [more] ICM2022-37 LOIS2022-37
pp.36-41
IBISML 2022-12-22
14:30
Kyoto Kyoto University
(Primary: On-site, Secondary: Online)
Serendipity-aware niche content recommendation system
Shogo Kawasaki, (KIT) IBISML2022-44
In recent years, the Internet has seen the proliferation of e-commerce sites such as Amazon and Rakuten, and numerous di... [more] IBISML2022-44
pp.6-13
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
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
KBSE, SC 2018-11-09
11:30
Hyogo   Evaluation of the Effectiveness of Recommendation while Managing the Data Density of the Web Service-User Preference
Rupasingha Arachchilage Hiruni Madhusha Rupasingha, Incheon Paik (UOA) KBSE2018-30 SC2018-25
Recommender systems become important in the research and commercial society, where many recommendation
solutions have b... [more]
KBSE2018-30 SC2018-25
pp.13-18
PRMU, BioX 2018-03-19
16:30
Tokyo   Generating Handwritten Character Clones Based on Shape Model Estimation by Collaborating Filtering
Eiji Miyazaki, Kazuaki Nakamura, Naoko Nitta, Noboru Babaguchi (Osaka Univ.) BioX2017-73 PRMU2017-209
In this paper, we focus on methods for generating clone images of handwritten characters resembling a target writer's ac... [more] BioX2017-73 PRMU2017-209
pp.219-224
ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] 2018-02-15
13:15
Hokkaido Hokkaido Univ. Prediction and Evaluation of Long-Term Food Records Using Short-Term Food Records
Akihiro Tsubakida, Sosuke Amano, Yoko Yamakata, Kiyoharu Aizawa (UTokyo), Makoto Ogawa (foo.log Inc)
In order to maintain and improve health, it is very important to grasp one's eating habits in his/her everyday life. How... [more]
SC 2017-06-02
14:20
Fukushima University of Aizu(UBIC 3D) A Neural Network Recommendation Approach for Improving Accuracy of Multi-criteria Collaborative Filtering
Mohammed Hassan, Mohamed Hamada (Univ. of Aizu) SC2017-4
Recommender systems (RSs) are intelligent decision-making tools that exploit users? preferences and suggest items that m... [more] SC2017-4
pp.17-20
CAS, CS 2017-02-24
09:30
Shiga   Capacity of Collaborative Interference Canceller: Quantization Error and Spatial Correlation
Daisuke Umehara, Rieko Saiki (Kyoto Inst. of Tech.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) CAS2016-125 CS2016-86
Let us assume that space division multiplexing (SDM) signal is transmitted at a base station (BS) with a number of anten... [more] CAS2016-125 CS2016-86
pp.63-68
CAS, CS 2017-02-24
09:55
Shiga   A Study of Received Signal Sharing Schemes for Collaborative Interference Canceller
Daisuke Umehara, Shuhei Ueno, Ryota Akagi (Kyoto Inst. of Tech.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) CAS2016-126 CS2016-87
Let us assume that space division multiplexing (SDM) signal is transmitted at a base station (BS) with a number of anten... [more] CAS2016-126 CS2016-87
pp.69-74
ET 2016-12-10
15:15
Osaka Kindai University Evaluation of Teaching Based on Elo Ratings and Its Prediction
Toyoyuki Kano, Masateru Tsunoda (Kindai Univ.) ET2016-74
In the university, student evaluation of teaching (SET) is widely applied. However, some students may evaluate all items... [more] ET2016-74
pp.45-50
DE 2016-09-13
17:10
Kanagawa Keio Univ. (Hiyoshi Campus) Item Recommendation Method for Collaborative Filtering Based on Empathy with Reviewers
Daichi Minami, Taketoshi Ushiama (Kyushu Univ.) DE2016-17
Today, it has become difficult for people to find books that fulfill their preference because the number of books in the... [more] DE2016-17
pp.31-36
DE 2016-09-14
11:00
Kanagawa Keio Univ. (Hiyoshi Campus) A study of handling Missing Values Collaborative Filtering using Deep Learning
Kohei Tanaka, Aki Kobayashi (Kogakuin Univ.) DE2016-20
Collaborative filtering (CF) processing using Deep Neural Network (dNN) for recommender systems have been developed.
T... [more]
DE2016-20
pp.49-52
IBISML 2016-03-17
13:00
Tokyo Institute of Statistical Mathematics Collaborative ranking based on relative preference
Ken-ichiro Moridomi, Kohei Hatano, Eiji Takimoto (Kyushu Univ.) IBISML2015-94
We consider a collaborative filtering problem with pairwise preference information. In this setting, the algorithm recei... [more] IBISML2015-94
pp.1-8
RCS, CCS, SR, SRW
(Joint)
2016-03-03
11:15
Tokyo Tokyo Institute of Technology Performance Evaluation of Collaborative Interference Canceller with Received Signal Frame Sharing
Daisuke Umehara, Shuhei Ueno, Ryota Akagi (Kyoto Inst. of Tech.), Hidekazu Murata (Kyoto Univ.), Satoshi Denno (Okayama Univ.) RCS2015-367
Let us assume that space division multiplexing (SDM) signal without precoding is transmitted at a base station (BS) with... [more] RCS2015-367
pp.205-210
 Results 1 - 20 of 58  /  [Next]  
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