Trond Linjordet, Krisztian Balog and Vinay Setty: Towards Formally Grounded Evaluation Measures for Semantic Parsing-based Knowledge Graph Question Answering
Fernando Giner: On the Effect of Ranking Axioms on IR Evaluation Metrics
Ruben van Heusden, Jaap Kamps and Maarten Marx: WooIR: a New Open Page Stream Segmentation Dataset
Harrisen Scells, Connor Forbes, Justin Clark, Bevan Koopman and Guido Zuccon: The Impact of Query Refinement on Systematic Review Literature Search: A Query Log Analysis
Chris Samarinas, Arkin Dharawat and Hamed Zamani: Revisiting Open Domain Query Facet Extraction and Generation
Sahiti Labhishetty and Chegnxiang Zhai: PRE: A Precision-Recall-Effort Optimization Framework for Query Simulation
Abhijit Anand, Jurek Leonhardt, Koustav Rudra and Avishek Anand: SOLAR: Supervised Contrastive Learning Approach for Contextual Ranking
Lukas Gienapp, Maik Fröbe, Matthias Hagen and Martin Potthast: Sparse Pairwise Re-ranking with Pre-trained Transformers
Hamed Zamani, Michael Bendersky, Donald Metzler, Honglei Zhuang and Xuanhui Wang: Stochastic Retrieval-Conditioned Reranking
Yitong Ji, Aixin Sun, Jie Zhang and Chenliang Li: Do Loyal Users Enjoy Better Recommendations? Understanding Recommender Performance from a Time Perspective
Farhan Khawar and Adam Roegiest: Non-popular Items for Accurate & Diverse Linear Auto-Encoding Recommenders
Masahiro Kohjima: Uncoupled Nonnegative Matrix Factorization with Pairwise Comparison Data
Shameem A Puthiya Parambath, Siwei Liu, Christos Anagnostopoulos, Roderick Murray-Smith and Iadh Ounis: Parameter Tuning of Reranking-based Diversification Algorithms using Total Curvature Analysis
Yumeng Wang, Lijun Lyu and Avishek Anand: BERT Rankers are Brittle: a Study using Adversarial Document Perturbations
Tuomas Ketola and Thomas Roelleke: Formal Constraints for Structured Document Retrieval
Ruben van Heusden, Jaap Kamps and Maarten Marx: BCubed Revisited: Elements Like Me
Rei Shimizu, Sumio Fujita and Tetsuya Sakai: Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles?
Agnès Mustar, Sylvain Lamprier and Benjamin Piwowarski: IRnator: a Framework for Discovering Users Needs from Sets of Suggestions
Joseph Telemala and Hussein Suleman: Language-Preference-Based Re-ranking for Multilingual Swahili Information Retrieval
David Rau and Jaap Kamps: The Role of Complex NLP in Transformers for Text Ranking
Amin Abolghasemi, Arian Askari and Suzan Verberne: On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval
Dominika Michalkova, Mario Parra Rodriguez and Yashar Moshfeghi: Drivers of Information Need: a Behavioural Study
Sibo Dong, Justin Goldstein and Grace Hui Yang: GazBy: Gaze-Based BERT Model to Incorporate Human Attention in Neural Information Retrieval
Tan Yu, Hongliang Fei and Ping Li: U-BERT for Fast and Scalable Text-Image Retrieval
Alexey Kurennoy, John Coleman, Ian Harris, Alice Lynch, Oisin Mac Fhearai and Daphne Tsatsoulis: A General Framework for Pairwise Unbiased Learning to Rank
Federico Marcuzzi, Claudio Lucchese and Salvatore Orlando: Filtering out Outliers in Learning to Rank
Yuan Wang, Shigeki Tanaka, Keita Yokoyama, Hsin-Tai Wu and Yi Fang: Two-sided Rank Consistent Ordinal Regression for Interpretable Music Key Recommendation
Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo and Ji-Rong Wen: A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation
Norman Knyazev and Harrie Oosterhuis: The Bandwagon Effect: Not Just Another Bias
Siamak Zamany, Dingcheng Li, Hongliang Fei and Ping Li: Towards Deeper Understanding of Variational Auto-encoders for Binary Collaborative Filtering
Harrie Oosterhuis: Reaching the End of Unbiasedness: Uncovering Implicit Limitations of Click-Based Learning to Rank
Xiao Fu, Emine Yilmaz and Aldo Lipani: Evaluating the Cranfield Paradigm for Conversational Search Systems