Advances in Information Retrieval [electronic resource] : 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023, Proceedings, Part I /

Full Papers -- Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval -- User Requirement Analysis for a Recommender System-Based Meeting Assistant -- Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering -- Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation -- Injecting the BM25 Score as Text Improves BERT-Based Re-rankers -- Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers -- A Knowledge Infusion based Multitasking System for Sarcasm Detection in Meme -- Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion -- Market-Aware Models for Efficient Cross Market Recommendation -- TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain -- An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application -- Graph-based Recommendation for Sparse and Heterogeneous User Interactions -- It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers -- Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph -- Query Performance Prediction for Neural IR: Are We There Yet? -- Item Graph Convolutional Collaborative Filtering for Inductive Recommendations -- CoLISA: Inner Interaction via Contrastive Learning for Multi-Choice Reading Comprehension -- Viewpoint Diversity in Search Results -- COILCR: Efficient Semantic Matching in Contextualized Exact Match Retrieval -- Bootstrapped nDCG Estimation in the Presence of Unjudged Documents -- Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs -- Keyword Embeddings for Query Suggestion -- Domain-driven and Discourse-guided Scientific Summarisation -- Injecting Temporal-aware Knowledge in Historical Named Entity Recognition -- A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers -- Contrasting Neural Click Models and Pointwise IPS Rankers -- Sentence Retrieval for Open-Ended Dialogue using Dual Contextual Modeling -- Temporal Natural Language Inference: Evidence-based Evaluation of Temporal Text Validity -- Theoretical Analysis on the Efficiency of Interleaved Comparisons -- Intention-aware Neural Networks for Question Paraphrase Identification -- Automatic and Analytical Field Weighting for Structured Document Retrieval -- An Experimental Study on Pretraining Transformers from Scratch for IR -- Neural Approaches to Multilingual Information Retrieval -- CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval -- SR-CoMbEr: Heterogeneous Network Embedding using Community Multi-view Enhanced Graph Convolutional Network for Automating Systematic Reviews -- Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering -- A Transformer-based Framework for POI-level Social Post Geolocation -- Document-Level Relation Extraction with Distance-dependent Bias Network and Neighbors Enhanced Loss -- Investigating Conversational Agent Action in Legal Case Retrieval -- MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval -- Listwise Explanations for Ranking Models using Multiple Explainers -- Improving video retrieval using multilingual knowledge transfer -- Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis -- Effective Hierarchical Information Threading using Network Community Detection -- HADA: A Graph-based Amalgamation Framework in Image-Text Retrieval.

The three-volume set LNCS 13980, 13981 and 13982 constitutes the refereed proceedings of the 45th European Conference on IR Research, ECIR 2023, held in Dublin, Ireland, during April 2-6, 2023. The 65 full papers, 41 short papers, 19 demonstration papers, and 12 reproducibility papers, 10 doctoral consortium papers were carefully reviewed and selected from 489 submissions. The accepted papers cover the state of the art in information retrieval focusing on user aspects, system and foundational aspects, machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search. .