DESIRES 2022
Design of Experimental Search & Information REtrieval Systems

Table of Contents

• Preface I-V
  Omar Alonso, Ricardo Baeza-Yates, Tracy Holloway King, Gianmaria Silvello
  Summary: There were 15 papers submitted for peer-review to this conference. Out of these, 9 papers were accepted for this volume, 4 as regular papers and 5 as short papers/prototypes/abstracts.

Session 1: User Interaction

• RULK: A Framework for Representing User Knowledge in Search-as-Learning 01-13
  Dima El Zein, Arthur Câmara, Célia da Costa Pereira
• Comparing User Experience in Search Interaction for Conversational and Conventional Search Systems using Implicit Evaluation Methods (prototype) 14-21
  Abhishek Kaushik, Gareth Jones

Session 2: Querying

• IOQP: A simple Impact-Ordered Query Processor written in Rust 22-34
  Joel Mackenzie, Matthias Petri, Luke Gallagher
• Pretrained Language Models Rankers on Private Data: Is Online and Federated Learning the Solution? (short paper) 35-39
  Guido Zuccon

Session 3: Multilinguality

• NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost 40-52
  Thales Sales Almeida, Thiago Laitz, João Seródio, Luiz Henrique Bonifacio, Roberto Lotufo, Rodrigo Nogueira
• Learning a Sparse Representation Model for Neural CLIR 53-64
  Suraj Nair, Eugene Yang Dawn Lawrie, James Mayfield, Douglas Oard
• T4TEC: A Prototype for Simplified Multilingual Technical Communication (abstract) 65-67
  Giorgio Maria Di Nunzio, Federica Vezzani, Tiziana Sicilia

Session 4: Prototypes: Looking into the future

• REBL: Entity Linking at Scale (prototype) 68-75
  Chris Kamphuis, Faegheh Hasibi, Jimmy Lin, Arjen de Vries
• BASE: a Bias-Aware news Search Engine for improving user awareness (prototype) 76-82
  Monica Lestari Paramita, Maria Kasinidou, Frank Hopfgartner