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ORCID46th ECIR 2024: Glasgow, UK - Part IV
- Nazli Goharian, Nicola Tonellotto
, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis:
Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 14611, Springer 2024, ISBN 978-3-031-56065-1
Short Papers
- Beatriz Soviero, Daniel Kuhn, Alexandre Salle, Viviane Pereira Moreira:
ChatGPT Goes Shopping: LLMs Can Predict Relevance in eCommerce Search. 3-11 - Ankit Satpute, André Greiner-Petter, Noah Gießing, Isabel Beckenbach, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp:
Taxonomy of Mathematical Plagiarism. 12-20 - Giulia Rizzi, Alessandro Astorino, Paolo Rosso, Elisabetta Fersini:
Unraveling Disagreement Constituents in Hateful Speech. 21-29 - Abbas Saleminezhad, Negar Arabzadeh, Soosan Beheshti, Ebrahim Bagheri:
Context-Aware Query Term Difficulty Estimation for Performance Prediction. 30-39 - Amin Bigdeli, Negar Arabzadeh, Ebrahim Bagheri:
Learning to Jointly Transform and Rank Difficult Queries. 40-48 - Sajad Ebrahimi, Maryam Khodabakhsh, Negar Arabzadeh, Ebrahim Bagheri:
Estimating Query Performance Through Rich Contextualized Query Representations. 49-58 - Besnik Fetahu, Tejas Mehta, Qun Song, Nikhita Vedula, Oleg Rokhlenko, Shervin Malmasi:
Instant Answering in E-Commerce Buyer-Seller Messaging Using Message-to-Question Reformulation. 59-67 - Varad Pimpalkhute, John Heyer, Xusen Yin, Sameer Gupta:
SoftQE: Learned Representations of Queries Expanded by LLMs. 68-77 - Ronak Pradeep, Jimmy Lin:
Towards Automated End-to-End Health Misinformation Free Search with a Large Language Model. 78-86 - Gijs Hendriksen, Djoerd Hiemstra, Arjen P. de Vries:
Weighted AUReC: Handling Skew in Shard Map Quality Estimation for Selective Search. 87-96
Reproducibility Papers
- Osman Alperen Koras, Jörg Schlötterer, Christin Seifert:
A Second Look on BASS - Boosting Abstractive Summarization with Unified Semantic Graphs - A Replication Study. 99-114 - Faisal Shehzad, Dietmar Jannach:
Performance Comparison of Session-Based Recommendation Algorithms Based on GNNs. 115-131 - Xinyu Mao, Bevan Koopman, Guido Zuccon:
A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. 132-146 - Martin Borcin, Joemon M. Jose:
Optimizing BERTopic: Analysis and Reproducibility Study of Parameter Influences on Topic Modeling. 147-160 - Juan Manuel Rodriguez, Nima Tavassoli, Eliezer Levy, Gil Lederman, Dima Sivov, Matteo Lissandrini, Davide Mottin:
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query? 161-176 - Aman Sinha, Priyanshu Raj Mall, Dwaipayan Roy:
Exploring the Nexus Between Retrievability and Query Generation Strategies. 177-193 - Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. 194-209 - Yuanna Liu, Ming Li, Mozhdeh Ariannezhad, Masoud Mansoury, Mohammad Aliannejadi, Maarten de Rijke:
Measuring Item Fairness in Next Basket Recommendation: A Reproducibility Study. 210-225 - David Rau, Jaap Kamps:
Query Generation Using Large Language Models - A Reproducibility Study of Unsupervised Passage Reranking. 226-239
IR for Good Papers
- Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia:
Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. 243-256 - Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia:
Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. 257-269 - Tim Menzner, Jochen L. Leidner:
Experiments in News Bias Detection with Pre-trained Neural Transformers. 270-284 - Royal Pathak, Francesca Spezzano:
An Empirical Analysis of Intervention Strategies' Effectiveness for Countering Misinformation Amplification by Recommendation Algorithms. 285-301 - Monica Landoni, Theo Huibers, Emiliana Murgia, Maria Soledad Pera:
Good for Children, Good for All? 302-313 - Michael D. Ekstrand, Lex Beattie, Maria Soledad Pera, Henriette Cramer:
Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval. 314-335 - Clara Rus, Andrew Yates, Maarten de Rijke:
A Study of Pre-processing Fairness Intervention Methods for Ranking People. 336-350 - Rebecca Salganik, Fernando Diaz, Golnoosh Farnadi:
Fairness Through Domain Awareness: Mitigating Popularity Bias for Music Discovery. 351-368 - Saran Pandian, Debasis Ganguly, Sean MacAvaney:
Evaluating the Explainability of Neural Rankers. 369-383 - Lijun Lyu, Nirmal Roy, Harrie Oosterhuis, Avishek Anand:
Is Interpretable Machine Learning Effective at Feature Selection for Neural Learning-to-Rank? 384-402 - Federico Maria Cau, Nava Tintarev:
Navigating the Thin Line: Examining User Behavior in Search to Detect Engagement and Backfire Effects. 403-419 - Marina Alonso-Cortés, Iván Cantador, Alejandro Bellogín:
Recommendation Fairness in eParticipation: Listening to Minority, Vulnerable and NIMBY Citizens. 420-436 - Alisa Rieger, Tim Draws, Nicolas Mattis, David Maxwell, David Elsweiler, Ujwal Gadiraju, Dana McKay, Alessandro Bozzon, Maria Soledad Pera:
Responsible Opinion Formation on Debated Topics in Web Search. 437-465 - Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald:
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. 466-482
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