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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2015-03-03 12:40 |
Okinawa | Okinawa Convention Center | Architecture of Privacy Preserving Recommendation System by Coordination with Service Providers Masashi Arashida, Katsunori Oyama, Toshihiro Nishizono (Nihon Univ)  NS2014-244 |
This paper proposes architecture of information recommendation system based on privacy preserving user history by coordi... [more] | NS2014-244 pp.391-396 |
| CQ, MoNA, IPSJ-DPS, IPSJ-CN, IPSJ-EIP (Joint) [detail] |
2013-09-12 08:30 |
Ishikawa | Kanazawa Institute of Technology | Implementation and Evaluation of Image Recommendation Based on Genre Learning in Social Network Services Yu Kamiya (Waseda Univ.), Kyoko Yamori (Asahi Univ.), Yoshiaki Tanaka (Waseda Univ.) CQ2013-28 |
Most image recommendation services in SNS (Social Network Services) use collaborative filtering to calculate the similar... [more] | CQ2013-28 pp.1-4 |
| AI, SC | 2013-08-09 14:20 |
Tokyo | National Institute of Informatics | Multi-media Recommendation Based On A Dynamically Re-definable Ontology Yu-Hsiang Lin (Univ. of Aizu), Rung-Ching Chen (Chaoyang Univ. of Tech.), Qiangfu Zhao (Univ. of Aizu) AI2013-15 SC2013-9 |
Context awareness has become an important issue in recent years. However, we still do not have a formal mechanism for so... [more] | AI2013-15 SC2013-9 pp.1-6 |
| LOIS, IPSJ-DC (Joint) |
2013-07-25 15:00 |
Iwate | Iwate Prefectural Univ. | A Proposal of Care Workers Support System Using Care Worker's Conversation Chikataka Satoh, Jun Sawamoto, Eiji Sugino (Iwate Prefectural Univ.), Hiroshi Yajima, Manabu Kurosawa (Tokyo Denki Univ.) LOIS2013-6 |
It is required for a care house of elderly people to provide uniform and high quality service to the user. However, the... [more] |
LOIS2013-6 pp.1-6 |
| MVE, IE, WIT, IMQ, CQ (Joint) [detail] |
2013-03-12 12:00 |
Fukuoka | Fukuoka Institute of Technology | Validity verification of ITU-T Recommendation P.1201.1 Model Extended for Video Resolution Yuichiro Urata, Kazuhisa Yamagishi (NTT) CQ2012-94 |
To monitor video quality for progressive download services, we study a video quality estimation model. A video quality e... [more] | CQ2012-94 pp.59-63 |
| ISEC, LOIS | 2012-11-21 16:35 |
Shizuoka | Shizuoka City Industry-University Exchange Center | A study of the human resource allocation on the cooperation system of life support services Mizue Hayashi (NTT), Yoshiyuki Mihara (NTT WEST), Atsushi Nakadaira, Manabu Okamoto, Takefumi Yamazaki, Atsushi Sato (NTT) ISEC2012-62 LOIS2012-37 |
ICT is being used, but not effectively, in various life support services as health consultation and observation in home-... [more] | ISEC2012-62 LOIS2012-37 pp.33-40 |
| DC, CPSY (Joint) |
2012-08-03 18:00 |
Tottori | Torigin Bunka Kaikan | Website-transverse Recommendation Application Based on Contents Captured by Network Router Kazuki Masuda, Shinichi Ishida, Hiroaki Nishi (Keio Univ.) CPSY2012-30 |
A recommendation application of PDF files are proposed, which use the contents captured on a network router. The propose... [more] | CPSY2012-30 pp.127-132 |
| AI | 2010-11-19 14:50 |
Fukuoka | Kyushu Univ. | Web page recommendation based on user's tagging tendency in social bookmark Yuuki Kishibata, Takashi Ishida, Masayuki Goto (Waseda Univ.) AI2010-39 |
Recently, web page recommendation systems by using social bookmark services have been studied with development of inform... [more] | AI2010-39 pp.49-53 |
| HIP, HCS, MVE, WIT (2nd) |
2009-12-10 - 2009-12-12 |
Hokkaido | Sappolo Convention Center | Contents Recommendation Services Based on Analyses of Viewer's Comments Kyoko Ariyasu, Yasuaki Kanatsugu, Hiroyuki Hamada (NHK) |
We are developing an “intelligence circulation system”, which collects viewer's comments on TV program,analyzes comments... [more] | |
| AI | 2007-05-31 11:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Collaborative Filtering using Purchase Sequences Tomoharu Iwata, Takeshi Yamada, Naonori Ueda (NTT) AI2007-3 |
We propose a collaborative filtering method that uses sequential information in purchase histories for recommendations. ... [more] | AI2007-3 pp.13-18 |
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