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Information Retrieval Technology

5th Asia Information Retrieval Symposium, AIRS 2009, Sapporo, Japan, October 21-23, 2009, Proceedings

  • Conference proceedings
  • © 2009

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Overview

Editors:
  1. Gary Geunbae Lee

    1. Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea

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  2. Dawei Song

    1. School of Computing, The Robert Gordon University, Aberdeen, UK

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  3. Chin-Yew Lin

    1. Microsoft Reseach Asia, 5F Beijing Sigma Center, Beijing, P.R. China

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  4. Akiko Aizawa

    1. National Institute of Informatics, Tokyo, Japan

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  5. Kazuko Kuriyama

    1. School of Literature, Shirayuri College, Tokyo, Japan

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  6. Masaharu Yoshioka

    1. Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan

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  7. Tetsuya Sakai

    1. Microsoft Research Asia, 5F Beijing Sigma Center, Beijing, P.R. China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5839)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: AIRS 2009.

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About this book

This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster papers presented were carefully reviewed and selected from 82 submissions. All current aspects of information retrieval - in theory and practice - are addressed; working with text, audio, image, video and multimedia data.

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Keywords

Table of contents (38 papers)

  1. Front Matter

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  2. Regular Papers

    1. Fully Automatic Text Categorization by Exploiting WordNet

      • Jianqiang Li, Yu Zhao, Bo Liu
      Pages 1-12
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    2. A Latent Dirichlet Framework for Relevance Modeling

      • Viet Ha-Thuc, Padmini Srinivasan
      Pages 13-25
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    3. Assigning Location Information to Display Individuals on a Map for Web People Search Results

      • Harumi Murakami, Yuya Takamori, Hiroshi Ueda, Shoji Tatsumi
      Pages 26-37
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    4. Web Spam Identification with User Browsing Graph

      • Huijia Yu, Yiqun Liu, Min Zhang, Liyun Ru, Shaoping Ma
      Pages 38-49
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    5. Metric and Relevance Mismatch in Retrieval Evaluation

      • Falk Scholer, Andrew Turpin
      Pages 50-62
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    6. Test Collection-Based IR Evaluation Needs Extension toward Sessions – A Case of Extremely Short Queries

      • Heikki Keskustalo, Kalervo Järvelin, Ari Pirkola, Tarun Sharma, Marianne Lykke
      Pages 63-74
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    7. Weighted Rank Correlation in Information Retrieval Evaluation

      • Massimo Melucci
      Pages 75-86
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    8. Extractive Summarization Based on Event Term Temporal Relation Graph and Critical Chain

      • Maofu Liu, Wenjie Li, Huijun Hu
      Pages 87-99
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    9. Using an Information Quality Framework to Evaluate the Quality of Product Reviews

      • You-De Tseng, Chien Chin Chen
      Pages 100-111
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    10. Automatic Extraction for Product Feature Words from Comments on the Web

      • Zhichao Li, Min Zhang, Shaoping Ma, Bo Zhou, Yu Sun
      Pages 112-123
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    11. Image Sense Classification in Text-Based Image Retrieval

      • Yih-Chen Chang, Hsin-Hsi Chen
      Pages 124-135
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    12. A Subword Normalized Cut Approach to Automatic Story Segmentation of Chinese Broadcast News

      • Jin Zhang, Lei Xie, Wei Feng, Yanning Zhang
      Pages 136-148
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    13. Japanese Spontaneous Spoken Document Retrieval Using NMF-Based Topic Models

      • Xinhui Hu, Hideki Kashioka, Ryosuke Isotani, Satoshi Nakamura
      Pages 149-156
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    14. Finding ‘Lucy in Disguise’: The Misheard Lyric Matching Problem

      • Nicholas Ring, Alexandra L. Uitdenbogerd
      Pages 157-167
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    15. Selecting Effective Terms for Query Formulation

      • Chia-Jung Lee, Yi-Chun Lin, Ruey-Cheng Chen, Pu-Jen Cheng
      Pages 168-180
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    16. Discovering Volatile Events in Your Neighborhood: Local-Area Topic Extraction from Blog Entries

      • Masayuki Okamoto, Masaaki Kikuchi
      Pages 181-192
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    17. A Unified Graph-Based Iterative Reinforcement Approach to Personalized Search

      • Yunping Huang, Le Sun, Zhe Wang
      Pages 193-204
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    18. Exploiting Sentence-Level Features for Near-Duplicate Document Detection

      • Jenq-Haur Wang, Hung-Chi Chang
      Pages 205-217
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Other volumes

  1. Information Retrieval Technology

Editors and Affiliations

  • Department of Computer Science and Engineering, Pohang University of Science and Technology, Pohang, Korea

    Gary Geunbae Lee

  • School of Computing, The Robert Gordon University, Aberdeen, UK

    Dawei Song

  • Microsoft Reseach Asia, 5F Beijing Sigma Center, Beijing, P.R. China

    Chin-Yew Lin

  • National Institute of Informatics, Tokyo, Japan

    Akiko Aizawa

  • School of Literature, Shirayuri College, Tokyo, Japan

    Kazuko Kuriyama

  • Graduate School of Information Science and Technology, Hokkaido University, Hokkaido, Japan

    Masaharu Yoshioka

  • Microsoft Research Asia, 5F Beijing Sigma Center, Beijing, P.R. China

    Tetsuya Sakai

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