BIRDS 2020
Bridging the Gap between Information Science, Information Retrieval and Data Science

Table of Contents

• BIRDS 2020 - Bridging the Gap between Information Science, Information Retrieval and Data Science: Preface 1-3
  Ingo Frommholz, Haiming Liu, Massimo Melucci
  

Session 1: Keynotes

• Fairness and Transparency in Ranking 4-4
  Carlos Castillo
  
• Challenges and Opportunities for IS, IR & DS in an Era of Information Ubiquity 5-5
  Nicholas J. Belkin
  

Session 2: Invited Talks

• Explaining Explanation Methods 6-13
  Riccardo Guidotti
  
• Understanding Faceted Search from Information Retrieval, Information Science and Data Science Perspectives 14-15
  Xi Niu
  

Session 3: Research Papers Session 1

• Reinforcement Learning-driven Information Seeking: A Quantum Probabilistic Approach 16-29
  Amit Kumar Jaiswal, Haiming Liu, Ingo Frommholz
  
• Towards a Framework for Harm Prevention in Web Search 30-46
  Steven Zimmerman, Stefan Herzog, Jon Chamberlain, David Elsweiler, Udo Kruschwitz
  
• Temporal Analysis of Scientific Literature to Find Grand Challenges and Saturated Problems 47-54
  Kritika Agrawal, Vikram Pudi
  
• Exploring the Impact on User Information Search Behaviour of Affective Design: An Eye-Tracking Study 55-69
  Sehrish Sher Khan, Haiming Liu
  

Session 4: Research Papers Session 2

• Extracting and Representing Causal Knowledge of Health Condition 70-78
  Hong Qing Yu
  
• BM25-FIC: Information Content-based Field Weighting for BM25F 79-85
  Tuomas Ketola, Thomas Roelleke
  
• Content-based Image Search System Design for Capturing User Preferences during Query Formulation 86-99
  Mahmoud Artemi, Haiming Liu
  
• Some Reflections on the Use of Structural Equation Modeling for Investigating the Causal Relationships that Affect Search Engine Results 100-109
  Massimo Melucci