Advances in Information Retrieval : 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part III / / edited by Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto

• Record Nr.: UNINA9910993928503321
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
• ISBN: 3-031-88714-X
• Edizione: [1st ed. 2025.]
• Descrizione fisica: 1 online resource (XXV, 465 p. 97 illus., 92 illus. in color.)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 15574
• Disciplina: 006.35
• Soggetti: Natural language processing (Computer science); Information storage and retrieval systems; Database management; Data mining; Machine learning; Natural Language Processing (NLP); Information Storage and Retrieval; Database Management System; Data Mining and Knowledge Discovery; Machine Learning
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- exHarmony: Authorship and Citations for Benchmarking the Reviewer Assignment Problem. -- Unraveling the Impact of Visual Complexity on Search as Learning. -- Enhancing Utility in Differentially Private Recommendation Data Release via Exponential Mechanism. -- CountNet: Utilising Repetition Counts in Sequential Recommendation. -- The Impact of Mainstream-Driven Algorithms on Recommendations for Children. -- Leveraging Query Terms for Efficient Legal Document Recommendation. -- Inducing Diversity in Differentiable Search Indexing. -- EGL-DST: Error-Guided Learning for Multidimensional Evaluation Method of Dialogue State Tracking via GPT-4. -- Examining the Impact of Transcript Accuracy on Podcast Search and Re-Ranking. ; -- Ranking Generated Answers: On the Agreement of Retrieval Models with Humans on Consumer Health Questions. -- Counterfactual Query Rewriting to Use Historical Relevance Feedback. -- Improving Language Model Performance by Training on Prototypical Contradictions. -- LiT and Lean: Distilling Listwise Rerankers into Encoder-Decoder Models. -- The Impact of Incidental Multilingual Text on the Cross-Lingual Transferring in Monolingual Retrieval. -- Approximate Bag-of-Words Top-k Corpus Graphs. -- Gradual Negative Matching for LLM Unlearning. -- Fact-Driven Health Information Retrieval: Integrating LLMs and Knowledge Graphs to Combat Misinformation. -- Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG. -- Investigating the Performance of Dense Retrievers for Queries with Numerical Conditions. -- Hierarchical Skip Decoding for Efficient Autoregressive Language Model. -- Iterative Self-Training for Code Generation via Reinforced Re-Ranking. -- Efficient Constant-Space Multi-Vector Retrieval. -- DiffGR: A Discrete Diffusion-Based Model for Personalised Recommendation by Reconstructing User-Item Bipartite Graphs. -- BAAF - A Framework for Media Bias Detection. -- A Simple but Effective Closed-form Solution for Extreme Multi-label Learning. -- Efficient and Effective Conversational Search with Tail Entity Selection. -- Large Language Model Can Be a Foundation for Hidden Rationale- Based Retrieval. -- SAFERec: Self-Attention and Frequency Enriched Model for Next Basket Recommendation. -- Benchmarking Prompt Sensitivity in Large Language Models. -- Do LLMs Provide Consistent Answers to Health-Related Questions across Languages?. -- Rank-DistiLLM: Closing the Effectiveness Gap Between Cross-Encoders and LLMs for Passage Re-ranking. -- Benchmark Creation for Narrative Knowledge Delta Extraction Tasks: Can LLMs Help?. -- Passage Segmentation of Documents for Extractive Question Answering. -- Can Generative AI Adequately Protect Queries? Analyzing the Trade-off Between Privacy Awareness and Retrieval Effectiveness. -- Retrieval-Augmented Neural Team Formation. -- A Test Collection for Dataset Retrieval. -- A new dataset for keyword extraction from IT job descriptions. -- Entity-Aware Cross-Modal Pretraining for Knowledge-based Visual Question Answering. -- Patience in Proximity: A Simple Early Termination Strategy for HNSW Graph Traversal in Approximate k-Nearest Neighbor Search. -- Improving RAG for Personalization with Author Features and Contrastive Examples. -- E2Rank: Efficient and Effective Layer-wise Reranking. -- Token-Level Graphs for Short Text Classification. -- Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive Datasets. -- A Comparative Analysis of Retrieval-Augmented Generation and Crowdsourcing for Fact-Checking. -- Exploring the Effectiveness of Multi-stage Fine-tuning for Cross-encoder Re-rankers.
• Sommario/riassunto: The five-volume set LNCS 15572, 15573, 15574, 15575 and 15576 constitutes the refereed conference proceedings of the 47th European Conference on Information Retrieval, ECIR 2025, held in Lucca, Italy, during April 6–10, 2025. The 52 full papers, 11 findings, 42 short papers and 76 papers of other types presented in these proceedings were carefully reviewed and selected from 530 submissions. The accepted papers cover the state-of-the-art in information retrieval and recommender systems: user aspects, system and foundational aspects, artificial intelligence and machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search and recommendation.

Stories in red and black : pictorial histories of the Aztecs and Mixtecs / / Elizabeth Hill Boone

• Record Nr.: UNINA9910972434303321
• Autore: Boone Elizabeth Hill
• Pubbl/distr/stampa: Austin, : University of Texas Press, 2000
• ISBN: 9780292791848; 0292791844
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (313 p.)
• Disciplina: 972/.01
• Soggetti: Manuscripts, Nahuatl; Aztec painting; Nahuatl language - Writing; Manuscripts, Mixtec; Mixtec art; Mixtec language - Writing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di bibliografia: Includes bibliographical references (p. [267]-284) and index.
• Nota di contenuto: Configuring the past -- History and historians -- Writing in images -- Structures of history -- Mixtec genealogical histories -- Lienzos and tiras from Oaxaca and southern Puebla -- Stories of migration, conquest, and consolidation in the central valleys -- Aztec altepetl annals -- Histories with a purpose.
• Sommario/riassunto: The Aztecs and Mixtecs of ancient Mexico recorded their histories pictorially in images painted on hide, paper, and cloth. The tradition of painting history continued even after the Spanish Conquest, as the Spaniards accepted the pictorial histories as valid records of the past. Five Pre-Columbian and some 150 early colonial painted histories survive today. This copiously illustrated book offers the first comprehensive analysis of the Mexican painted history as an intellectual, documentary, and pictorial genre. Elizabeth Hill Boone explores how the Mexican historians conceptualized and painted their past and introduces the major pictorial records: the Aztec annals and cartographic histories and the Mixtec screenfolds and lienzos. Boone focuses her analysis on the kinds of stories told in the histories and on ; how the manuscripts work pictorially to encode, organize, and preserve these narratives. This twofold investigation broadens our understanding of how preconquest Mexicans used pictographic history for political and social ends. It also demonstrates how graphic writing systems created a broadly understood visual "language" that communicated effectively across ethnic and linguistic boundaries.