Information Retrieval Technology

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

  • Shaoping Ma
  • Ji-Rong Wen
  • Yiqun Liu
  • Zhicheng Dou
  • Min Zhang
  • Yi Chang
  • Xin Zhao
Conference proceedings AIRS 2016
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9994)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. IR Models and Theories

    1. Front Matter
      Pages 1-1
    2. Xiaolu Lu, Alistair Moffat, J. Shane Culpepper
      Pages 3-15
    3. Shuxin Wang, Xin Jiang, Hang Li, Jun Xu, Bin Wang
      Pages 29-41
    4. Tim Gollub, Matthias Busse, Benno Stein, Matthias Hagen
      Pages 42-55
    5. Xian-Ling Mao, Dan Wang, Yi-Jing Hao, Wenqing Yuan, Heyan Huang
      Pages 56-67
    6. Weiji Zhao, Fengbin Zhang, Jinglian Liu
      Pages 68-80
  3. Machine Learning and Data Mining for IR

    1. Front Matter
      Pages 81-81
    2. Lidong Bing, Zheng-Yu Niu, Wai Lam, Haifeng Wang
      Pages 83-97
    3. Xia Zhang, Weizheng Chen, Hongfei Yan
      Pages 98-110
    4. Zhe Han, Yansong Feng, Dongyan Zhao
      Pages 111-122
  4. IR Applications and User Modeling

    1. Front Matter
      Pages 123-123
    2. Kan Xu, Hongfei Lin, Yuan Lin, Bo Xu, Liang Yang, Shaowu Zhang
      Pages 125-137
    3. Matthias Hagen, Maximilian Michel, Benno Stein
      Pages 138-154
  5. Personalization and Recommendation

    1. Front Matter
      Pages 169-169
    2. Tak-Lam Wong, Wai Lam, Haoran Xie, Fu Lee Wang
      Pages 184-196
    3. Jovian Lin, Kazunari Sugiyama, Min-Yen Kan, Tat-Seng Chua
      Pages 197-211

About these proceedings

Introduction

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

Editors and affiliations

  • Shaoping Ma
    • 1
  • Ji-Rong Wen
    • 2
  • Yiqun Liu
    • 3
  • Zhicheng Dou
    • 4
  • Min Zhang
    • 5
  • Yi Chang
    • 6
  • Xin Zhao
    • 7
  1. 1.Tsinghua University BeijingChina
  2. 2.Renmin University of China BeijingChina
  3. 3.Tsinghua University BeijingChina
  4. 4.Renmin University of China BeijingChina
  5. 5.Tsinghua University BeijingChina
  6. 6.Yahoo Labs SunnyvaleUSA
  7. 7.Renmin University of China BeijingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-48051-0
  • Copyright Information Springer International Publishing AG 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-48050-3
  • Online ISBN 978-3-319-48051-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349