Skip to main content
SpringerLink
Log in
Book cover

Towards Sustainable Society on Ubiquitous Networks

The 8th IFIP Conference on e-Business, e-Services, and e-Society (I3E 2008), September 24 - 26, 2008, Tokyo, Japan

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Makoto Oya

    1. Shonan Institute of Technology, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Ryuya Uda

    1. Tokyo University of Technology, Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Chizuko Yasunobu

    1. Hitachi Consulting Co., Ltd., Japan

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • The papers in this volume were peer-reviewed and carefully selected
  • Much information in this series is published in advance of journal publication
  • The contributors in this volume are world-renowned experts in their field

Part of the book series: IFIP Advances in Information and Communication Technology (IFIPAICT)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (30 papers)

  1. Front Matter

    Pages i-xxvi
    Download chapter PDF

  2. Organized Session

    1. eService Innovation and Sensor Based Healthcare

      • Osamu Sudoh, Sozo Inoue, Naoki Nakashima
      Pages 1-14

  3. Research Track

    1. User Behavior Modeling

      1. Decision Making Model for Online Music Service Users
        • Ayako Hiramatsu, Takahiro Yamasaki, Kazuo Nose
        Pages 15-25
      2. Intraday-scale Long Interval Method of Classifying Intramonth-Scale Revisiting Mobile Users
        • Toshihiko Yamakami
        Pages 27-36
      3. The Study of Customer Segmentation Examined by Catastrophe Model
        • Yu-Kai Huang
        Pages 37-48

    2. Information Overload and Recommendation Systems

      1. A Procedure of How to Conduct Research in Transparent Mobile Recommendations
        • Mike Radmacher
        Pages 49-60
      2. Development of Recommender Systems Using User Preference Tendencies: An Algorithm for Diversifying Recommendation
        • Yuki Ogawa, Hirohiko Suwa, Hitoshi Yamamoto, Isamu Okada, Toshizumi Ohta
        Pages 61-73

    3. Trust and Security

      1. Cryptographic Approch for Workflow Systems
        • Yasuo Hatano, Kunihiko Miyazaki, Toshinobu Kaneko
        Pages 75-86
      2. A Fuzzy Model for Scalable Trust in E-Commerce
        • Zhaohao Sun, Xifeng Guo, Shuliang Zhao
        Pages 87-97
      3. Extending RBAC for Large Enterprises and Its Quantitative Risk Evaluation
        • Seiichi Kondo, Mizuho Iwaihara, Masatoshi Yoshikawa, Masashi Torato
        Pages 99-112

    4. Service Oriented Computing and Web Services

      1. Presence-Based Runtime Composition of IMS Services Deployed in a SIP Servlet Platform
        • Juan Miguel Espinosa Carlín
        Pages 113-124
      2. A Service Oriented and Agent-Based Architecture for the e-Collaboration of SMEs
        • Ioannis Ignatiadis, Dimitrios Tektonidis, Adomas Svirskas, Jonathan Briggs, Stamatia-Ann Katriou, Adamantios Koumpis
        Pages 125-137
      3. Autonomous Web Services Based on Dynamic Model Harmonization
        • Makoto Oya
        Pages 139-150

    5. P2P Co-Operation and Content Management

      1. A Nonlinear Representation of Page History in P2P Wiki System
        • Sawsan Alshattnawi, Gérôme Canals, Pascal Molli
        Pages 151-160
      2. Distributed Secure Virtual File System Using FUSE
        • Shin Tezuka, Akifumi Inoue, Ryuya Uda, Kenichi Okada
        Pages 161-172

    6. Ubiquitous, Mobile and Pervasive Services

      1. Pricing for Maximizing Provider’s Revenue in Multicast Content Delivery Services
        • Takehiro Kajita, Kyoko Yamori, Yoshiaki Tanaka
        Pages 173-183
      2. Personalized Public-Transport Guidance Using Mobile End Devices
        • Stefan Christmann, Thorsten Caus, Svenja Hagenhoff
        Pages 185-195
      3. Internet Adoption in Tourism Industry in China
        • Hongxiu Li, Reima Suomi
        Pages 197-208

    7. e-Health and e-Education

      1. The Use of Data Sources of Medication Information — a Finnish Primary Care Organization in the Light of National e-Health Scenarios
        • Eeva Aarnio, Reetta Raitoharju
        Pages 209-219
      2. Student Retention through Customized Service Processes
        • Reinhard Jung, Jessica Kochbeck, Annett Nagel
        Pages 221-231
Back to top

Keywords

About this book

The massive growth of the Internet has made an enormous amount of infor- tion available to us. However, it is becoming very difficult for users to acquire an - plicable one. Therefore, some techniques such as information filtering have been - troduced to address this issue. Recommender systems filter information that is useful to a user from a large amount of information. Many e-commerce sites use rec- mender systems to filter specific information that users want out of an overload of - formation [2]. For example, Amazon. com is a good example of the success of - commender systems [1]. Over the past several years, a considerable amount of research has been conducted on recommendation systems. In general, the usefulness of the recommendation is measured based on its accuracy [3]. Although a high - commendation accuracy can indicate a user's favorite items, there is a fault in that - ly similar items will be recommended. Several studies have reported that users might not be satisfied with a recommendation even though it exhibits high recommendation accuracy [4]. For this reason, we consider that a recommendation having only accuracy is - satisfactory. The serendipity of a recommendation is an important element when c- sidering a user's long-term profits. A recommendation that brings serendipity to users would solve the problem of “user weariness” and would lead to exploitation of users' tastes. The viewpoint of the diversity of the recommendation as well as its accuracy should be required for future recommender systems.

Editors and Affiliations

  • Shonan Institute of Technology, Japan

    Makoto Oya

  • Tokyo University of Technology, Japan

    Ryuya Uda

  • Hitachi Consulting Co., Ltd., Japan

    Chizuko Yasunobu

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation