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  • Conference proceedings
  • © 2008

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

  • 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)

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Table of contents (30 papers)

  1. Industrial and Administration Track

    1. Local Government ICT Platform in Japan

      1. Service Interaction Platform Technologies Providing High Value-added ICT Services
        • Takashi Kai, Atsushi Hirao, Daisuke Miyamoto, Yuko Ueda
        Pages 327-340
    2. Infrastructure and Implementation

      1. Realizing Interoperable Infrastructure for Electronic Business Systems and Local Government Systems
        • Kazunori Iwasa, Masahiko Narita, Makiko Shimamura
        Pages 341-352
      2. Group Support in Collaborative Networks Organizations for Ambient Assisted Living
        • Paulo Novais, Ricardo Costa, Davide Carneiro, José Machado, Luís Lima, José Neves
        Pages 353-362
  2. Back Matter

    Pages 363-363

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

Buy it now

Buying options

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