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ORCIDICTIR 2022: Madrid, Spain
- Fabio Crestani, Gabriella Pasi, Éric Gaussier:
ICTIR '22: The 2022 ACM SIGIR International Conference on the Theory of Information Retrieval, Madrid, Spain, July 11 - 12, 2022. ACM 2022, ISBN 978-1-4503-9412-3
Keynote Talks
- Emine Yilmaz:
From Search Queries to Conversations in the Design of Information Retrieval and Access Systems. 1 - ChengXiang Zhai:
I3A: An Intelligent Interactive Information Agent Model for Information Retrieval. 2
Session 1: Evaluation
- Trond Linjordet, Krisztian Balog, Vinay Setty
:
Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering. 3-12 - Fernando Giner:
On the Effect of Ranking Axioms on IR Evaluation Metrics. 13-23 - Ruben van Heusden, Jaap Kamps, Maarten Marx:
WooIR: A New Open Page Stream Segmentation Dataset. 24-33
Session 2: Query Analysis
- Harrisen Scells, Connor Forbes, Justin Clark, Bevan Koopman, Guido Zuccon:
The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis. 34-42 - Chris Samarinas, Arkin Dharawat, Hamed Zamani:
Revisiting Open Domain Query Facet Extraction and Generation. 43-50 - Sahiti Labhishetty, ChengXiang Zhai:
PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation. 51-60
Session 3: Ranking 1
- Abhijit Anand, Jurek Leonhardt, Koustav Rudra, Avishek Anand:
Supervised Contrastive Learning Approach for Contextual Ranking. 61-71 - Lukas Gienapp, Maik Fröbe, Matthias Hagen, Martin Potthast:
Sparse Pairwise Re-ranking with Pre-trained Transformers. 72-80 - Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang, Xuanhui Wang:
Stochastic Retrieval-Conditioned Reranking. 81-91
Session 4: Recommendation 1
- Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. 92-97 - Farhan Khawar, Adam Roegiest:
Non-popular Items for Accurate & Diverse Linear Auto-Encoding Recommenders. 98-102 - Masahiro Kohjima:
Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data. 103-107
Session 5: Ranking 2
- Shameem Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith, Iadh Ounis:
Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis. 108-114 - Yumeng Wang, Lijun Lyu, Avishek Anand:
BERT Rankers are Brittle: A Study using Adversarial Document Perturbations. 115-120 - Tuomas Ketola, Thomas Roelleke:
Formal Constraints for Structured Document Retrieval. 121-126
Session 6: Query, Clustering, and Summarization
- Ruben van Heusden, Jaap Kamps, Maarten Marx:
BCubed Revisited: Elements Like Me. 127-132 - Rei Shimizu, Sumio Fujita, Tetsuya Sakai:
Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles? 133-137 - Agnès Mustar, Sylvain Lamprier, Benjamin Piwowarski:
IRnator: A Framework for Discovering Users Needs from Sets of Suggestions. 138-143
Session 7: Natural Language Processing
- Joseph P. Telemala, Hussein Suleman:
Language-Preference-Based Re-ranking for Multilingual Swahili Information Retrieval. 144-152 - David Rau, Jaap Kamps:
The Role of Complex NLP in Transformers for Text Ranking. 153-160 - Amin Abolghasemi, Arian Askari, Suzan Verberne:
On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval. 161-170
Session 8: Information Needs
- Dominika Michalkova, Mario Parra-Rodriguez, Yashar Moshfeghi:
Drivers of Information Needs: A Behavioural Study - Exploring Searcher's Feeling-of-Knowing. 171-181 - Sibo Dong, Justin Goldstein, Grace Hui Yang:
GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval. 182-192 - Tan Yu, Hongliang Fei, Ping Li:
U-BERT for Fast and Scalable Text-Image Retrieval. 193-203
Session 9: Ranking 3
- Alexey Kurennoy, John Coleman, Ian Harris, Alice Lynch, Oisín Mac Fhearaí, Daphne Tsatsoulis:
A General Framework for Pairwise Unbiased Learning to Rank. 204-213 - Federico Marcuzzi, Claudio Lucchese, Salvatore Orlando:
Filtering out Outliers in Learning to Rank. 214-222 - Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu, Yi Fang:
Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation. 223-231
Session 10: Recommendation 2
- Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. 232-242 - Norman Knyazev, Harrie Oosterhuis:
The Bandwagon Effect: Not Just Another Bias. 243-253 - Siamak Zamany, Dingcheng Li, Hongliang Fei, Ping Li:
Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering. 254-263
Best Papers
- Harrie Oosterhuis:
Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank. 264-274 - Xiao Fu, Emine Yilmaz, Aldo Lipani:
Evaluating the Cranfield Paradigm for Conversational Search Systems. 275-280
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