Описание: Chapter 1. Graded Relevance.- Chapter 2. Experiments on Cross-Language Information Retrieval using Comparable Corpora of Chinese, Japanese, and Korean Languages.- Chapter 3. Text Summarization Challenge.- Chapter 4. Challenges in Patent Information Retrieval.- Chapter 5. Multi-Modal Summarization.- Chapter 6. Opinion Analysis Corpora Across Languages.- Chapter 7. Patent Translation.- Chapter 8. Component-Based Evaluation for Question Answering.- Chapter 9. Temporal Information Access.- Chapter 10. SogouQ.- Chapter 11. Evaluation of Information Access with Smartphones.- Chapter 12. Mathematical Information Retrieval.- Chapter 13. Experiments in Lifelog Organisation and Retrieval at NTCIR.- Chapter 14. The Future of Information Retrieval Evaluation.
Deep Learning I.- Seed-guided Deep Document Clustering.- Improving Knowledge Graph Embedding using Locally and Globally Attentive Relation Paths.- ReadNet: A Hierarchical Transformer Framework for Web Article Readability Analysis.- Variational Recurrent Sequence-to-Sequence Retrieval for Stepwise Illustration.- A Hierarchical Model for Data-to-Text Generation.- Entities.- Context-guided Learning to Rank Entities.- Graph-Embedding Empowered Entity Retrieval.- Learning Advanced Similarities and Training Features for Toponym Interlinking.- Patch-based Identification of Lexical Semantic Relations.- Joint Word and Entity Embeddings for Entity Retrieval from a Knowledge Graph.- Evaluation.- Evaluating the Effectiveness of the Standard Insights Extraction Pipeline for Bantu Languages.- Recommendation.- Axiomatic Analysis of Contact Recommendation Methods in Social Networks: an IR perspective.- Recommending Music Curators: A Neural Style-Aware Approach.- Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation.- Semantic Modelling of Citation Contexts for Context-aware Citation Recommendation.- TransRev: Modeling Reviews as Translations from Users to Items.- Information Extraction.- Domain-independent Extraction of Scientific Concepts from Research Articles.- Leveraging Schema Labels to Enhance Dataset Search.- Moving from formal towards coherent concept analysis: why, when and how.- Beyond Modelling: Understanding Mental Disorders in Online Social Media.- Deep Learning II.- Learning based Methods for Code Runtime Complexity Prediction.- Inductive Document Network Embedding with Topic-Word Attention.- Multi-components system for automatic Arabic diacritization.- A Mixed Semantic Features Model for Chinese NER with Characters and Words.- VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification.- Retrieval.- A Computational Approach for Objectively Derived Systematic Review Search Strategies.- You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews.- Counterfactual Online Learning to Rank.- A Framework for Argument Retrieval: Ranking Argument Clusters by Frequency and Specificity.- Relevance Ranking based on Query-Aware Context Analysis.- Multimedia.- Multimodal Entity Linking for Tweets.- MEMIS: Multimodal Emergency Management Information System.- Interactive Learning for Multimedia at Large.- Visual Re-ranking via Adaptive Collaborative Hypergraph Learning for Image Retrieval.- Motion Words: A Text-like Representation of 3D Skeleton Sequences.- Deep Learning III.- Reinforced Rewards Framework for Text Style Transfer.- Recognizing Semantic Relations: Attention-Based Transformers vs. Recurrent Models.- Early detection of rumours on Twitter via stance transfer learning.- Learning to Rank Images with Cross-Modal Graph Convolutions.- Diagnosing BERT with Retrieval Heuristics.- Queries.- Generation of Synthetic Query Auto Completion Logs.- What Can Task Teach Us About Query Reformulations?.- A Regularised Intent Model for Discovering Multiple Intents in E-Commerce Tail Queries.- Utilising Information Foraging Theory for User Interaction with Image Query Auto-Completion.- Using Image Captions and Multitask Learning for Recommending Query Reformulations.- IR - general.- Curriculum Learning Strategies for IR: An Empirical Study on Conversation Response Ranking.- Accelerating Substructure Similarity Search for Formula Retrieval.- Quantum-like Structure in Multidimensional Relevance Judgements.- Question Answering, Prediction, and Bias.- Temporal Latent Space Modeling for Community Prediction.- KvGR: A Graph-Based Interface for Explorative Sequential Question Answering on Heterogeneous Information Sources.- Answering Event-Related Questions over Long-term News Article Archives.- bias goggles - Graph-based Computa
Автор: Muhammad Sarfraz Название: Critical Approaches to Information Retrieval Research ISBN: 1799810216 ISBN-13(EAN): 9781799810216 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange.
Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.
Автор: Muhammad Sarfraz Название: Critical Approaches to Information Retrieval Research ISBN: 1799810224 ISBN-13(EAN): 9781799810223 Издательство: Mare Nostrum (Eurospan) Цена: 22037.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Information retrieval (IR) is considered to be the science of searching for information from a variety of information sources related to texts, images, sounds, or multimedia. With the rise of the internet and digital databases, updated information retrieval methodologies are essential to ensure the continued facilitation and enhancement of information exchange. Critical Approaches to Information Retrieval Research is a critical scholarly publication that provides multidisciplinary examinations of theoretical innovations and methods in information retrieval technologies including search and storage applications for data, text, image, sound, document, and video retrieval. Featuring a wide range of topics including data mining, machine learning, and ontology, this book is ideal for librarians, software engineers, data scientists, professionals, researchers, information engineers, scientists, practitioners, and academicians working in the fields of computer science, information technology, information and communication sciences, education, health, library, and more.
Reproducibility Papers.- Knowledge Graph Entity Alignment with Graph Neural Networks: Lessons Learned.- The Effect of Content-Equivalent Near-Duplicates on the Evaluation of Search Engines.- From MaxScore to Block-Max WAND: The Story of How Lucene Significantly Improved Query Evaluation Performance.- Which BM25 Do You Mean? A Large-Scale Reproducibility Study of Scoring Variants.- The Unfairness of Popularity Bias in Music Recommendation: A Reproducibility Study.- Reproducibility is a Process, not an Achievement: The Replicability of IR Reproducibility Experiments.- On the Replicability of Combining Word Embeddings and Retrieval Models.- Influence of Random Walk Parametrization on Graph Embeddings.- Short Papers.- Calling attention to passages for biomedical question answering.- Neural Embedding-based Metrics for Pre-Retrieval Query Performance Prediction.- A Latent Model for Ad Hoc Table Retrieval.- Hybrid Semantic Recommender System for Chemical Compounds.- Assessing the Impact of OCR Errors in Information Retrieval.- Towards Query Logs for Privacy Studies: On Deriving Search Queries from Questions.- Machine-actionable data management plans: A knowledge retrieval approach to automate the assessment of funders' requirements.- Session-based Path Prediction by Combining Local and Global Content Preferences.- Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers.- Irony Detection in a Multilingual Context.- Document Network Projection in Pretrained Word Embedding Space.- Supervised Learning Methods for Diversification of Image Search Results.- ANTIQUE: A Non-Factoid Question Answering Benchmark.- Neural Query-biased Abstractive Summarization Using Copying Mechanism.- Distant Supervision for Extractive Question Summarization.- Text-Image-Video Summary Generation using Joint Integer Linear Programming.- Domain Adaptation via Context Prediction for Engineering Diagram Search.- Crowdsourcing Truthfulness: The Impact of Judgment Scale and Assessor Bias.- Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings.- A Multi-task Approach to Open Domain Suggestion Mining using Language Model for Text Over-sampling.- MedLinker: Medical Entity Linking with Neural Representations and Dictionary Matching.- Ranking Significant Discrepancies in Clinical Reports.- Teaching a New Dog Old Tricks: Resurrecting Multilingual Retrieval Using Zero-shot Learning.- Semi-Supervised Extractive Question Summarization Using Question-Answer Pairs.- Utilizing Temporal Psycholinguistic Cues for Suicidal Intent Estimation.- PMD: An Optimal Transportation-based User Distance for Recommender Systems.- On Biomedical Named Entity Recognition: Experiments in Bilingual Transfer for Clinical and Social Media Texts.- SlideImages: A Dataset for Educational Image Classification.- Rethinking Query Expansion for BERT Reranking.- Personalized Video Summarization based exclusively on User Preferences.- SentiInc: Incorporating Sentiment Information into Sentiment Transfer without Parallel Data.- Dualism in Topical Relevance.- Keyphrase Extraction as Sequence Labeling using Contextualized Embeddings.- Easing Legal News Monitoring with Learning to Rank and BERT.- Generating query suggestions for cross-language and cross-terminology health information retrieval.- Identifying Notable News Stories.- BERT for Evidence Retrieval and Claim Verification.- BiOnt: Deep Learning using Multiple Biomedical Ontologies for Relation Extraction.- On the Temporality of Priors in Entity Linking.- Contextualized Embeddings in Named-Entity Recognition: An Empirical Study on Generalization.- DAKE: Document-level Attention for Keyphrase Extraction.- Understanding depression from psycholinguistic patterns in social media Texts.- Predicting the Size of Candidate Document Set for Implicit Web Search Result Diversification.- Aspect-based Academic Search using Domain-specific KB.- Dynamic Heterogeneous Gr
Автор: Thomas Deselaers; Nicola Ferro; Julio Gonzalo; Mik Название: Evaluating Systems for Multilingual and Multimodal Information Access ISBN: 3642044468 ISBN-13(EAN): 9783642044465 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The ninth campaign of the Cross-Language Evaluation Forum (CLEF) for European languages was held from January to September 2008.
Описание: Presenting developments including case studies, challenges, and trends, and covering topics such as recommender systems, user profiles, and collaborative filtering, this book informs and educates academicians, researchers, and field practitioners on the advancements in information retrieval.
Автор: Arul Chib; Julian May; Roxana Barrantes Название: Impact of Information Society Research in the Global South ISBN: 9811012393 ISBN-13(EAN): 9789811012396 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second volume in the SIRCA book series investigates the impact of information society initiatives by extending the boundaries of academic research into the realm of practice. This book addresses two aspects- Impact of research: How is the research on ICTs in the Global South playing a role in creating an information society?
Автор: Arul Chib; Julian May; Roxana Barrantes Название: Impact of Information Society Research in the Global South ISBN: 9812873805 ISBN-13(EAN): 9789812873804 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second volume in the SIRCA book series investigates the impact of information society initiatives by extending the boundaries of academic research into the realm of practice. This book addresses two aspects- Impact of research: How is the research on ICTs in the Global South playing a role in creating an information society?
Автор: Buttcher Stefan, Clarke Charles L. A., Cormack Gordon V. Название: Information Retrieval: Implementing and Evaluating Search Engines ISBN: 0262528878 ISBN-13(EAN): 9780262528870 Издательство: MIT Press Рейтинг: Цена: 7618.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.
Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus -- a multiuser open-source information retrieval system developed by one of the authors and available online -- provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.
Описание: In the digital age, modern society is exposed to high volumes of multimedia information. In efforts to optimize this information, there are new and emerging methods of information retrieval and knowledge management leading to higher efficiency and a deeper understanding of this data. The Handbook of Research on Biomimicry in Information Retrieval and Knowledge Management is a critical scholarly resource that examines bio-inspired classes that solve computer problems. Featuring coverage on a broad range of topics such as big data analytics, bioinformatics, and black hole optimization, this book is geared towards academicians, practitioners, and researchers seeking current research on the use of biomimicry in information and knowledge management.
Автор: Ai-Suqri, Lillard & Ai-Saleem Название: Information Access And Library User Needs In Developing Countries ISBN: 1466643536 ISBN-13(EAN): 9781466643536 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: While high quality library and information services continue to thrive and strengthen economic and social development, much of the knowledge that exists on user’s needs and behaviours is fundamentally based on the results of users in English-speaking, western developed countries. <br><br><em>Information Access and Library User Needs in Developing Countries</em> highlights the struggles that developing countries face in terms of information gaps and information-seeking user behaviour. The publication highlights ways in which users in developing countries can benefit from properly implementing LIS services. Researchers, academics, and practitioners interested in the design and delivery of information services will benefit from this collection of research.
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