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  • Conference proceedings
  • © 2017

Information Retrieval Technology

13th Asia Information Retrieval Societies Conference, AIRS 2017, Jeju Island, South Korea, November 22-24, 2017, Proceedings

Editors:

  1. Won-Kyung Sung

    1. Korea Institute of Science and Technology Information, Daejeon, Korea (Republic of)

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  2. Hanmin Jung

    1. Korea Institute of Science and Technology Information, Daejeon, Korea (Republic of)

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  3. Shuo Xu

    1. Beijing University of Technology, Beijing, China

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  4. Krisana Chinnasarn

    1. Burapha University, Chonburi, Thailand

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  5. Kazutoshi Sumiya

    1. Kwansei Gakuin University, Himeji, Japan

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  6. Jeonghoon Lee

    1. Korea Institute of Science and Technology Information, Daejeon, Korea (Republic of)

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  7. Zhicheng Dou

    1. Renmin University of China, Beijing, China

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  8. Grace Hui Yang

    1. Georgetown University, Washington, USA

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  9. Young-Guk Ha

    1. Konkuk University, Seoul, Korea (Republic of)

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  10. Seungbock Lee

    1. Korea Institute of Science and Technology Information, Daejeon, Korea (Republic of)

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10648)

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

Conference series link(s): AIRS: Asia Information Retrieval Symposium

Conference proceedings info: AIRS 2017.

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Table of contents (17 papers)

  1. Front Matter

    Pages I-XII
    PDF

  2. IR Infrastructure and Systems

    1. Front Matter

      Pages 1-1
      PDF

    3. A Boosted Supervised Semantic Indexing for Reranking

      • Takuya Makino, Tomoya Iwakura
      Pages 16-28

    4. Improving Shard Selection for Selective Search

      • Mon Shih Chuang, Anagha Kulkarni
      Pages 29-41

  3. IR Models and Theories

    1. Front Matter

      Pages 43-43
      PDF

    2. Learning2extract for Medical Domain Retrieval

      • Yue Wang, Kuang Lu, Hui Fang
      Pages 45-57

    3. FORK: Feedback-Aware ObjectRank-Based Keyword Search over Linked Data

      • Takahiro Komamizu, Sayami Okumura, Toshiyuki Amagasa, Hiroyuki Kitagawa
      Pages 58-70

    5. Fast Exact Algorithm to Solve Continuous Similarity Search for Evolving Queries

      • Tomohiro Yamazaki, Hisashi Koga, Takahisa Toda
      Pages 84-96

  4. Personalization and Recommendation

    1. Front Matter

      Pages 97-97
      PDF

    2. A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images

      • Wenwen Ye, Yongfeng Zhang, Wayne Xin Zhao, Xu Chen, Zheng Qin
      Pages 99-111

    3. Wide & Deep Learning in Job Recommendation: An Empirical Study

      • Shaoyun Shi, Min Zhang, Hongyu Lu, Yiqun Liu, Shaopin Ma
      Pages 112-124

    4. A Neural Network Model for Social-Aware Recommendation

      • Lin Xiao, Zhang Min, Liu Yiqun, Ma Shaoping
      Pages 125-137

  5. Data Mining for IR

    1. Front Matter

      Pages 139-139
      PDF

    2. Entity Ranking by Learning and Inferring Pairwise Preferences from User Reviews

      • Shinryo Uchida, Takehiro Yamamoto, Makoto P. Kato, Hiroaki Ohshima, Katsumi Tanaka
      Pages 141-153

    3. Probabilistic Local Matrix Factorization Based on User Reviews

      • Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Wenwen Ye, Zheng Qin
      Pages 154-166

    4. Finding and Quantifying Temporal-Aware Contradiction in Reviews

      • Ismail Badache, Sébastien Fournier, Adrian-Gabriel Chifu
      Pages 167-180

    5. Automatic Query Generation from Legal Texts for Case Law Retrieval

      • Daniel Locke, Guido Zuccon, Harrisen Scells
      Pages 181-193

  6. IR Evaluation

    1. Front Matter

      Pages 195-195
      PDF
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Other Volumes

  1. Information Retrieval Technology

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About this book

This book constitutes the refereed proceedings of the 13th Information Retrieval Societies Conference, AIRS 2017, held in Jeju, Korea, in November 2017.

 

The 17 full papers presented were carefully reviewed and selected from numerous submissions. The final program of AIRS 2017 is divided in the following tracks: IR Infrastructure and Systems; IR Models and Theories; Personalization and Recommendation; Data Mining for IR; and IR Evaluation.

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Keywords

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Editors and Affiliations

  • Korea Institute of Science and Technology Information, Daejeon, Korea (Republic of)

    Won-Kyung Sung, Hanmin Jung, Jeonghoon Lee, Seungbock Lee

  • Beijing University of Technology, Beijing, China

    Shuo Xu

  • Burapha University, Chonburi, Thailand

    Krisana Chinnasarn

  • Kwansei Gakuin University, Himeji, Japan

    Kazutoshi Sumiya

  • Renmin University of China, Beijing, China

    Zhicheng Dou

  • Georgetown University, Washington, USA

    Grace Hui Yang

  • Konkuk University, Seoul, Korea (Republic of)

    Young-Guk Ha

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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