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  • © 2016

Information Retrieval Technology

12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 – December 2, 2016, Proceedings

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9994)

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 2016.

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Table of contents (32 papers)

  1. Front Matter

    Pages I-XIII
  2. IR Models and Theories

    1. Front Matter

      Pages 1-1
    2. Modeling Relevance as a Function of Retrieval Rank

      • Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
      Pages 3-15
    3. Incorporating Semantic Knowledge into Latent Matching Model in Search

      • Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang
      Pages 29-41
    4. Keyqueries for Clustering and Labeling

      • Tim Gollub, Matthias Busse, Benno Stein, Matthias Hagen
      Pages 42-55
    5. A Comparative Study of Answer-Contained Snippets and Traditional Snippets

      • Xian-Ling Mao, Dan Wang, Yi-Jing Hao, Wenqing Yuan, Heyan Huang
      Pages 56-67
    6. Local Community Detection via Edge Weighting

      • Weiji Zhao, Fengbin Zhang, Jinglian Liu
      Pages 68-80
  3. Machine Learning and Data Mining for IR

    1. Front Matter

      Pages 81-81
    2. Learning a Semantic Space of Web Search via Session Data

      • Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang
      Pages 83-97
    3. TLINE: Scalable Transductive Network Embedding

      • Xia Zhang, Weizheng Chen, Hongfei Yan
      Pages 98-110
    4. Detecting Synonymous Predicates from Online Encyclopedia with Rich Features

      • Zhe Han, Yansong Feng, Dongyan Zhao
      Pages 111-122
  4. IR Applications and User Modeling

    1. Front Matter

      Pages 123-123
    2. Patent Retrieval Based on Multiple Information Resources

      • Kan Xu, Hongfei Lin, Yuan Lin, Bo Xu, Liang Yang, Shaowu Zhang
      Pages 125-137
    3. Simulating Ideal and Average Users

      • Matthias Hagen, Maximilian Michel, Benno Stein
      Pages 138-154
  5. Personalization and Recommendation

    1. Front Matter

      Pages 169-169
    2. A Joint Framework for Collaborative Filtering and Metric Learning

      • Tak-Lam Wong, Wai Lam, Haoran Xie, Fu Lee Wang
      Pages 184-196
    3. Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators

      • Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua
      Pages 197-211

Other Volumes

  1. Information Retrieval Technology

    12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 – December 2, 2016, Proceedings

About this book

This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China, in November/December 2016.

The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 57 submissions. The final programme of AIRS 2015 is divided in the following tracks: IR models and theories; machine learning and data mining for IR; IR applications and user modeling; personalization and recommendation; and IR evaluation.

Keywords

  • information retrieval
  • optimization
  • recommender systems
  • social media
  • web mining
  • healthcare
  • network embedding
  • online advertising
  • search engine evaluation
  • semantic knowledge
  • smartwatch
  • web search
  • world wide web
  • algorithm analysis and problem complexity

Editors and Affiliations

  • Tsinghua University , Beijing, China

    Shaoping Ma, Yiqun Liu, Min Zhang

  • Renmin University of China , Beijing, China

    Ji-Rong Wen, Zhicheng Dou, Xin Zhao

  • Yahoo Labs , Sunnyvale, USA

    Yi Chang

Bibliographic Information

Buying options

eBook USD 59.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-48051-0
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 79.99
Price excludes VAT (USA)