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