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46th ECIR 2024: Glasgow, UK - Part III
- 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 III. Lecture Notes in Computer Science 14610, Springer 2024, ISBN 978-3-031-56062-0
Full Papers
- Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi:
Knowledge Graph Cross-View Contrastive Learning for Recommendation. 3-18 - Gitanjali Kumari
, Chandranath Adak
, Asif Ekbal
:
Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection. 19-37 - Ludovico Boratto
, Francesco Fabbri
, Gianni Fenu
, Mirko Marras
, Giacomo Medda
:
Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation. 38-55 - Janek Bevendorff
, Matti Wiegmann
, Martin Potthast
, Benno Stein
:
Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines. 56-71 - Deepanshu Pandey, Arindam Sarkar, Prakash Mandayam Comar:
GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation. 72-88 - Erlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis:
Effective Adhoc Retrieval Through Traversal of a Query-Document Graph. 89-104 - Shuyi Wang
, Bing Liu
, Guido Zuccon
:
How to Forget Clients in Federated Online Learning to Rank? 105-121 - Satoshi Horikawa, Chiyonosuke Nemoto, Keishi Tajima
, Masaki Matsubara
, Atsuyuki Morishima
:
An Adaptive Feature Selection Method for Learning-to-Enumerate Problem. 122-136 - Francesc Net
, Núria Hernández, Adrià Molina
, Lluís Gómez
:
A Transformer-Based Object-Centric Approach for Date Estimation of Historical Photographs. 137-150 - Aleksandr V. Petrov, Sean MacAvaney, Craig Macdonald:
Shallow Cross-Encoders for Low-Latency Retrieval. 151-166 - Jan Svec
, Martin Bulín
, Adam Frémund
, Filip Polák
:
Asking Questions Framework for Oral History Archives. 167-180 - Puxuan Yu, Antonio Mallia, Matthias Petri:
Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies. 181-194 - Radin Hamidi Rad
, Silviu Cucerzan
, Nirupama Chandrasekaran, Michael Gamon:
Interactive Topic Tagging in Community Question Answering Platforms. 195-209 - Abhisek Tiwari, Shreyangshu Bera, Sriparna Saha, Pushpak Bhattacharyya, Samrat Ghosh:
Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation. 210-225 - Tommaso Carraro
, Alessandro Daniele
, Fabio Aiolli
, Luciano Serafini
:
Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer. 226-242 - Nachshon Cohen, Hedda Cohen Indelman, Yaron Fairstein, Guy Kushilevitz:
InDi: Informative and Diverse Sampling for Dense Retrieval. 243-258
Short Papers
- Arihant Jain, Raksha Sharma
:
Enhancing Legal Named Entity Recognition Using RoBERTa-GCN with CRF: A Nuanced Approach for Fine-Grained Entity Recognition. 261-267 - Subhankar Maity
, Aniket Deroy
, Sudeshna Sarkar
:
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT. 268-277 - Luo Ji
, Jiayu Mao
, Hailong Shi, Qian Li, Yunfei Chu
, Hongxia Yang
:
An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation. 278-286 - Fatos Torba
, Christophe Gravier
, Charlotte Laclau
, Abderrhammen Kammoun, Julien Subercaze:
A Study on Hierarchical Text Classification as a Seq2seq Task. 287-296 - Georgios Sidiropoulos
, Evangelos Kanoulas
:
Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning. 297-305 - Hitesh Sagtani
, Olivier Jeunen
, Aleksei Ustimenko
:
Learning-to-Rank with Nested Feedback. 306-315 - Tendai Mukande
, Esraa Ali
, Annalina Caputo
, Ruihai Dong
, Noel E. O'Connor
:
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. 316-325 - Kaustubh D. Dhole
, Eugene Agichtein
:
GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query Reformulation. 326-335 - Weronika Lajewska
, Krisztian Balog
:
Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations. 336-344 - Marium Malik, Jiaojiao Jiang, Yang Song, Sanjay Jha:
MFVIEW: Multi-modal Fake News Detection with View-Specific Information Extraction. 345-353 - Maryam Khodabakhsh, Fattane Zarrinkalam, Negar Arabzadeh:
BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance Prediction. 354-363 - Wolfgang Gritz
, Anett Hoppe
, Ralph Ewerth
:
On the Influence of Reading Sequences on Knowledge Gain During Web Search. 364-373 - Apostolos Kasampalis, Despoina Chatzakou
, Theodora Tsikrika
, Stefanos Vrochidis
, Ioannis Kompatsiaris
:
Bias Detection and Mitigation in Textual Data: A Study on Fake News and Hate Speech Detection. 374-383 - Ivan Sekulic
, Weronika Lajewska
, Krisztian Balog
, Fabio Crestani
:
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search. 384-392 - Pierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier:
Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QA. 393-402 - Mathias Vast
, Yuxuan Zong
, Benjamin Piwowarski
, Laure Soulier
:
Simple Domain Adaptation for Sparse Retrievers. 403-412 - Tiago Melo Almeida
, Sérgio Matos
:
SPARe: Supercharged Lexical Retrievers on GPU with Sparse Kernels. 413-421 - Daniele Rege Cambrin
, Luca Cagliero
, Paolo Garza
:
DQNC2S: DQN-Based Cross-Stream Crisis Event Summarizer. 422-430 - Ben Giacalone
, Greg Paiement
, Quinn Tucker
, Richard Zanibbi
:
Beneath the [MASK]: An Analysis of Structural Query Tokens in ColBERT. 431-439 - Ludovico Boratto
, Giulia Cerniglia, Mirko Marras
, Alessandra Perniciano
, Barbara Pes
:
A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in Recommendation. 440-448 - Ngozi Ihemelandu
, Michael D. Ekstrand
:
Multiple Testing for IR and Recommendation System Experiments. 449-457 - Adrian-Gabriel Chifu
, Sébastien Déjean
, Moncef Garouani
, Josiane Mothe
, Diégo Ortiz
, Md. Zia Ullah
:
Can We Predict QPP? An Approach Based on Multivariate Outliers. 458-467 - Haonan Tan
, Kaiyu Yang
, Haitao Yu
:
An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rank. 468-476 - Arian Askari
, Zihui Yang, Zhaochun Ren
, Suzan Verberne
:
Answer Retrieval in Legal Community Question Answering. 477-485 - Carlos Muñoz, María José Apolo, Maximiliano Ojeda, Hans Lobel
, Marcelo Mendoza
:
News Gathering: Leveraging Transformers to Rank News. 486-493 - Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang:
GenRec: Large Language Model for Generative Recommendation. 494-502
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