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Committee Date Time Place Paper Title / Authors Abstract Paper #
SWIM 2008-08-22 Tokyo Kikai-Shinko-Kaikan Bldg [Special Talk] Usage of Information in Information Overload Era -- Recommender System and Collaborative Filtering --
Toshihiro Kamishima (AIST) SWIM2008-7
We will talk about a recommender system, especially the algorithms and design options adopted for implementing the syste... [more] SWIM2008-7
pp.1-2
DE 2007-07-02
13:55
Miyagi Akiu hot springs (Sendai) Evaluation of Tag-Based Contextual Collaborative Filtering Effectiveness in Website Recommendation
Reyn Nakamoto, Shinsuke Nakajima, Jun Miyazaki (NAIST), Shunsuke Uemura (Nara Sangyo Univ.), Hirokazu Kato (NAIST) DE2007-26
In this paper, we introduce a website bookmarking and recommendation system which uses Tag-Based Contextual Collaborativ... [more] DE2007-26
pp.25-30
DE 2007-07-02
16:20
Miyagi Akiu hot springs (Sendai) Web Page Recommendation by Collaborative Filtering and its evaluation
Kiyotaka Takasuka, Kazutaka Maruyama, Minoru Terada (UEC) DE2007-41
Because the number of web pages becomes very huge, and still increasing,
many people have difficulty to reach pages th... [more]
DE2007-41
pp.115-120
PRMU, DE 2007-06-29
10:00
Hokkaido Hokkaido Univ. Recommendation Method for Improving Customer Lifetime Value
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada (NTT) DE2007-11 PRMU2007-37
It is important for online stores to improve Customer Lifetime Value (LTV) if they are to increase their profits. Conven... [more] DE2007-11 PRMU2007-37
pp.57-62
AI 2007-05-31
11:35
Tokyo Kikai-Shinko-Kaikan Bldg. Personalized Recommendation by Identifying Innovator
Noriaki Kawamae, Takeshi Yamada, Naonori Ueda (NTT) AI2007-4
(To be available after the conference date) [more] AI2007-4
pp.19-24
KBSE, JSAI-KBS 2007-01-23
09:00
Kanagawa KEIO UNIVERSITY Active Browsing: A Novel Personalized Web Browsing Support System
Takahiro Toda, Tsunenori Mine, Makoto Amamiya (Kyushu Univ.)
This paper presents the Active Browsing system which supports user's
Web browsing activity. The system observes user's ... [more]
KBSE2006-55
pp.1-6
DE 2006-07-14
09:10
Niigata HOTEL SENKEI A Study of a Growing Meta-data Model for Content Recommendation on Folksonomies
Akira Sasaki, Takamichi Miyata (Tokyo Inst. Tech.), Yasuhiro Inazumi (Kanagawa Univ.), Aki Kobayashi (NIME), Yoshinori Sakai (Tokyo Inst. Tech.)
The web-based bookmark management service called social
bookmark has recently come to be widely used. In the social boo... [more]
DE2006-103
pp.67-72
AI 2006-05-18
10:45
Tokyo Kikai-Shinko-Kaikan Bldg. A collaborative filtering method based on marginal rating distributions
Shuhei Kuwata, Naonori Ueda (NTT)
We propose a collaborative filtering method based on a probabilistic approach . In the proposed method, first empirical ... [more] AI2006-3
pp.13-18
SS 2005-04-22
11:10
Wakayama   Experimental production of web browser with browsing state restoration function in support of understanding software
Takaaki Imaeda, Yasuhiro Hayase, Makoto Matsushita, Katsuro Inoue (Osaka Univ.)
Lots of software development supporting systems, such as process and product monitoring system, are used in development ... [more] SS2005-9
pp.13-18
SS 2004-08-03
10:30
Hokkaido Future University Hakodate Collaborative filtering method for software component recommendation
Makoto Ichii (Osaka Univ.), Tetsuo Yamamoto (Ritsumei Univ.), Reishi Yokomori, Katsuro Inoue (Osaka Univ.)
A software component search system is a support tool for reuse and understanding in software development. We have propos... [more] SS2004-15
pp.7-12
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