Azizah Jaafar; Nazlena Mohamad Ali; Shahrul Azman Information Retrieval Technology 9783319128436

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Автор: Azizah Jaafar; Nazlena Mohamad Ali; Shahrul Azman
Название: Information Retrieval Technology
ISBN: 9783319128436
Издательство: Springer
Классификация: ISBN-10: 3319128434
Обложка/Формат: Paperback
Страницы: 506
Вес: 0.73 кг.
Дата издания: 06.11.2014
Серия: Information Systems and Applications, incl. Internet/Web, and HCI
Язык: English
Размер: 234 x 156 x 27
Основная тема: Computer Science
Подзаголовок: 10th Asia Information Retrieval Societies Conference, AIRS 2014, Kuching, Malaysia, December 3-5, 2014. Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: IR Applications.- Leveraging Deletion Neighborhoods and Trie for Efficient String Similarity Search and Join.- Content-based Medical Image Retrieval System for Infections and Fluids in Chest Radiographs.- Topic-focused Summarization of News Events based on Biased Snippet Extraction and Selection.- Query Ambiguity Identification based on User Behavior Information.- IR Evaluation, User Study and Interactive IR.- Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences.- Hybrid Crowd-Machine Methods as Alternatives to Pooling & Expert Judgments.- How Do Sponsored Search Results Affect User Behavior in Web Search?.- Is the First Query the Most Important: An Evaluation of Query Aggregation Schemes in Session Search.- A Comparative Evaluation of 2D and 3D Visual Exploration of Document Search Results.- Multimedia IR.- Multi-resolution Shape-based Image Retrieval using Ridgelet Transform.- Characteristics Classification of Durian Varieties Images for Knowledge Representation by Using Conceptual Graph.- IR Models and Theories.- Integrating Semantic Term Relations into Information Retrieval Systems based on Language Models.- Towards Risk-Aware Resource Selection.- Personalizing Web Search Results based on Subspace Projection.- Aggregating Results from Multiple Related Queries to Improve Web Search over Sessions.- Modified Frequency-based Term Weighting Scheme for Accurate Dark Web Content Classification.- Web IR, Scalability and IR in Social Media.- Online Social Network Profile Linkage.- User Message Model: A New Approach to Scalable User Modeling on Microblog.- Enhanced FastPFOR for Inverted Index Compression.- Natural Language Processing for IR.- Linguistically Enhanced Collocate Words Model.- Named Entity Extraction via Automatic Labeling and Tri-Training: Comparison of Selection Methods.- Contrastive Max-Sum Opinion Summarization.- Extracting Interest Tags from Twitter User Biographies.- Named Entity Recognition in Crime Using Machine Learning Approach.- A New Combination Method based on Adaptive Genetic Algorithm for Medical Image Retrieval.- Leveraging Wikipedia and Context Features for Clinical Event Extraction from Mixed-Language Discharge Summary.- Impact of Stemmer on Arabic Text Retrieval.- Distance Measures and Stemming Impact on Arabic Document Clustering.- Emotional Links between Structure and Content in Online Communications.- Extraction of Semantic Features from Transaction Dialogues.- Extracting Corpus-Specific Strings by Using Suffix Arrays Enhanced with Longest Common Prefix.- Feasibility Study Concerning the Use of Reasoning Technique in Semantic Reasoners.- Machine Learning & Data Mining for IR.- Nature Inspired Data Mining Algorithm for Document Clustering in Information Retrieval.- Enhancing Machine-Learning Methods for Sentiment Classification of Web Data.- Name Disambiguation by Collective Classifcation.- Hierarchical Dirichlet Process Topic Modeling for Large Number of Answer Types Classification in Open Domain Question Answering.- A Comparative Study of Feature Selection and Machine Learning Algorithms for Arabic Sentiment Classification.- Undersampling Techniques to Re-balance Training Data for Large Scale Learning-to-Rank.- Nurturing Filled Pause Detection for Spontaneous Speech Retrieval.- Analysis of Japanese Wikipedia Category for Constructing Wikipedia Ontology and Semantic Similarity Measure.- Correlation-based Feature Selection for Association Rule Mining in Semantic Annotation of Mammographic Medical Images.- Content Quality of Clustered Latent Dirichlet Allocation Short Summaries.

Information Retrieval Technology, Azizah Jaafar; Nazlena Mohamad Ali; Shahrul Azman