All Stories

  1. On The Use Of Electroencephalography In Query Performance Prediction
  2. Predicting Expectancy Violations Using Eye-Tracking Features: A Machine Learning Approach
  3. Towards Brain Passage Retrieval: An Investigation of EEG Query Representations
  4. Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
  5. Report on the 3rd Workshop on NeuroPhysiological Approaches for Interactive Information Retrieval (NeuroPhysIIR 2025) at SIGIR CHIIR 2025
  6. Prediction of the Realisation of an Information Need: An EEG Study
  7. Understanding Feeling-of-Knowing in Information Search: An EEG Study
  8. Podify: A Podcast Streaming Platform with Automatic Logging of User Behaviour for Academic Research
  9. Why People Skip Music? On Predicting Music Skips using Deep Reinforcement Learning
  10. White Box: On the Prediction of Collaborative Filtering Recommendation Systems’ Performance
  11. Drivers of Information Needs: A Behavioural Study – Exploring Searcher's Feeling-of-Knowing
  12. A Game Theory Approach for Estimating Reliability of Crowdsourced Relevance Assessments
  13. Information Need Awareness
  14. On Skipping Behaviour Types in Music Streaming Sessions
  15. Are we there yet? Estimating Training Time for Recommendation Systems
  16. Influence of Bigrams on Information Retrieval Bias and Effectiveness
  17. The Cortical Activity of Graded Relevance
  18. Looking for Opportunities
  19. Towards Predicting a Realisation of an Information Need based on Brain Signals
  20. Learning to Geolocalise Tweets at a Fine-Grained Level
  21. Search Process as Transitions Between Neural States