QPP++ 2023
Query Performance Prediction and Its Evaluation in New Tasks

Table of Contents

• Preface
  Guglielmo Faggioli, Nicola Ferro, Josiane Mothe, Fiana Raiber
  

• On the Feasibility and Robustness of Pointwise Evaluation of Query Performance Prediction 1-6
  Suchana Datta, Debasis Ganguly, Derek Greene, Mandar Mitra
• Combining Word Embedding Interactions and LETOR Feature Evidences for Supervised QPP 7-12
  Suchana Datta, Debasis Ganguly, Josiane Mothe, Md Zia Ullah
  
• A Large-Scale Dataset for Known-Item Question Performance Prediction 13-19
  Maik Fröbe, Eric Oliver Schmidt, Matthias Hagen
  
• Towards Result Delta Prediction Based on Knowledge Deltas for Continuous IR Evaluation 20-24
  Gabriela González-Sáez, Alaa El-Ebshihy, Tobias Fink, Petra Galuščáková, Florina Piroi, David Iommi, Lorraine Goeuriot, Philippe Mulhem
  
• Performance Prediction for Conversational Search Using Perplexities of Query Rewrites 25-28
  Chuan Meng, Mohammad Aliannejadi, Maarten de Rijke
  
• On Correlation to Evaluate QPP 29-36
  Josiane Mothe
  
• Entropy-Based Query Performance Prediction for Neural Information Retrieval Systems 37-44
  Oleg Zendel, Binsheng Liu, J. Shane Culpepper, Falk Scholer