Table of Contents

• Knowledge Graph Cross-View Contrastive Learning for RecommendationZeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi. 3-18 [doi]
• Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme DetectionGitanjali Kumari, Chandranath Adak, Asif Ekbal. 19-37 [doi]
• Robustness in Fairness Against Edge-Level Perturbations in GNN-Based RecommendationLudovico Boratto, Francesco Fabbri, Gianni Fenu, Mirko Marras, Giacomo Medda. 38-55 [doi]
• Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search EnginesJanek Bevendorff, Matti Wiegmann, Martin Potthast, Benno Stein 0001. 56-71 [doi]
• GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential RecommendationDeepanshu Pandey, Arindam Sarkar, Prakash Mandayam Comar. 72-88 [doi]
• Effective Adhoc Retrieval Through Traversal of a Query-Document GraphErlend Frayling, Sean MacAvaney, Craig Macdonald, Iadh Ounis. 89-104 [doi]
• How to Forget Clients in Federated Online Learning to Rank?Shuyi Wang 0001, Bing Liu 0025, Guido Zuccon. 105-121 [doi]
• An Adaptive Feature Selection Method for Learning-to-Enumerate ProblemSatoshi Horikawa, Chiyonosuke Nemoto, Keishi Tajima, Masaki Matsubara, Atsuyuki Morishima. 122-136 [doi]
• A Transformer-Based Object-Centric Approach for Date Estimation of Historical PhotographsFrancesc Net, Núria Hernández, Adrià Molina, Lluís Gómez. 137-150 [doi]
• Shallow Cross-Encoders for Low-Latency RetrievalAleksandr V. Petrov, Sean MacAvaney, Craig Macdonald. 151-166 [doi]
• Asking Questions Framework for Oral History ArchivesJan Svec, Martin Bulín, Adam Frémund, Filip Polák. 167-180 [doi]
• Improved Learned Sparse Retrieval with Corpus-Specific VocabulariesPuxuan Yu, Antonio Mallia, Matthias Petri. 181-194 [doi]
• Interactive Topic Tagging in Community Question Answering PlatformsRadin Hamidi Rad, Silviu Cucerzan, Nirupama Chandrasekaran, Michael Gamon. 195-209 [doi]
• Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary GenerationAbhisek Tiwari, Shreyangshu Bera, Sriparna Saha 0001, Pushpak Bhattacharyya, Samrat Ghosh. 210-225 [doi]
• Mitigating Data Sparsity via Neuro-Symbolic Knowledge TransferTommaso Carraro, Alessandro Daniele, Fabio Aiolli, Luciano Serafini. 226-242 [doi]
• InDi: Informative and Diverse Sampling for Dense RetrievalNachshon Cohen, Hedda Cohen Indelman, Yaron Fairstein, Guy Kushilevitz. 243-258 [doi]
• Enhancing Legal Named Entity Recognition Using RoBERTa-GCN with CRF: A Nuanced Approach for Fine-Grained Entity RecognitionArihant Jain, Raksha Sharma. 261-267 [doi]
• A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPTSubhankar Maity, Aniket Deroy, Sudeshna Sarkar. 268-277 [doi]
• An Adaptive Framework of Geographical Group-Specific Network on O2O RecommendationLuo Ji, Jiayu Mao, Hailong Shi, Qian Li, Yunfei Chu, Hongxia Yang. 278-286 [doi]
• A Study on Hierarchical Text Classification as a Seq2seq TaskFatos Torba, Christophe Gravier, Charlotte Laclau, Abderrhammen Kammoun, Julien Subercaze. 287-296 [doi]
• Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive LearningGeorgios Sidiropoulos, Evangelos Kanoulas. 297-305 [doi]
• Learning-to-Rank with Nested FeedbackHitesh Sagtani, Olivier Jeunen, Aleksei Ustimenko. 306-315 [doi]
• MMCRec: Towards Multi-modal Generative AI in Conversational RecommendationTendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor. 316-325 [doi]
• GenQREnsemble: Zero-Shot LLM Ensemble Prompting for Generative Query ReformulationKaustubh D. Dhole, Eugene Agichtein. 326-335 [doi]
• Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking ConversationsWeronika Lajewska, Krisztian Balog. 336-344 [doi]
• MFVIEW: Multi-modal Fake News Detection with View-Specific Information ExtractionMarium Malik, Jiaojiao Jiang, Yang Song, Sanjay Jha. 345-353 [doi]
• BertPE: A BERT-Based Pre-retrieval Estimator for Query Performance PredictionMaryam Khodabakhsh, Fattane Zarrinkalam, Negar Arabzadeh. 354-363 [doi]
• On the Influence of Reading Sequences on Knowledge Gain During Web SearchWolfgang Gritz, Anett Hoppe, Ralph Ewerth. 364-373 [doi]
• Bias Detection and Mitigation in Textual Data: A Study on Fake News and Hate Speech DetectionApostolos Kasampalis, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris. 374-383 [doi]
• Estimating the Usefulness of Clarifying Questions and Answers for Conversational SearchIvan Sekulic, Weronika Lajewska, Krisztian Balog, Fabio Crestani. 384-392 [doi]
• Navigating Uncertainty: Optimizing API Dependency for Hallucination Reduction in Closed-Book QAPierre Erbacher, Louis Falissard, Vincent Guigue, Laure Soulier. 393-402 [doi]
• Simple Domain Adaptation for Sparse RetrieversMathias Vast, Yuxuan Zong, Benjamin Piwowarski, Laure Soulier. 403-412 [doi]
• SPARe: Supercharged Lexical Retrievers on GPU with Sparse KernelsTiago Almeida, Sérgio Matos. 413-421 [doi]
• DQNC2S: DQN-Based Cross-Stream Crisis Event SummarizerDaniele Rege Cambrin, Luca Cagliero, Paolo Garza. 422-430 [doi]
• Beneath the [MASK]: An Analysis of Structural Query Tokens in ColBERTBen Giacalone, Greg Paiement, Quinn Tucker, Richard Zanibbi. 431-439 [doi]
• A Cost-Sensitive Meta-learning Strategy for Fair Provider Exposure in RecommendationLudovico Boratto, Giulia Cerniglia, Mirko Marras, Alessandra Perniciano, Barbara Pes. 440-448 [doi]
• Multiple Testing for IR and Recommendation System ExperimentsNgozi Ihemelandu, Michael D. Ekstrand. 449-457 [doi]
• Can We Predict QPP? An Approach Based on Multivariate OutliersAdrian-Gabriel Chifu, Sébastien Déjean, Moncef Garouani, Josiane Mothe, Diégo Ortiz, Md Zia Ullah. 458-467 [doi]
• An In-Depth Comparison of Neural and Probabilistic Tree Models for Learning-to-rankHaonan Tan, Kaiyu Yang, Haitao Yu 0003. 468-476 [doi]
• Answer Retrieval in Legal Community Question AnsweringArian Askari, Zihui Yang, Zhaochun Ren, Suzan Verberne. 477-485 [doi]
• News Gathering: Leveraging Transformers to Rank NewsCarlos Muñoz, María José Apolo, Maximiliano Ojeda, Hans Lobel, Marcelo Mendoza. 486-493 [doi]
• GenRec: Large Language Model for Generative RecommendationJianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang. 494-502 [doi]