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Information retrieval technology

Overview of attention for book
Cover of 'Information retrieval technology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Query Expansion with ConceptNet and WordNet: An Intrinsic Comparison
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    Chapter 2 Document Similarity Search Based on Manifold-Ranking of TextTiles
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    Chapter 3 Adapting Document Ranking to Users’ Preferences Using Click-Through Data
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    Chapter 4 A PDD-Based Searching Approach for Expert Finding in Intranet Information Management
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    Chapter 5 A Supervised Learning Approach to Entity Search
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    Chapter 6 Hierarchical Learning Strategy in Relation Extraction Using Support Vector Machines
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    Chapter 7 Learning to Separate Text Content and Style for Classification
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    Chapter 8 Using Relative Entropy for Authorship Attribution
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    Chapter 9 Efficient Query Evaluation Through Access-Reordering
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    Chapter 10 Natural Document Clustering by Clique Percolation in Random Graphs
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    Chapter 11 Text Clustering with Limited User Feedback Under Local Metric Learning
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    Chapter 12 Toward Generic Title Generation for Clustered Documents
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    Chapter 13 Word Sense Language Model for Information Retrieval
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    Chapter 14 Statistical Behavior Analysis of Smoothing Methods for Language Models of Mandarin Data Sets
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    Chapter 15 No Tag, a Little Nesting, and Great XML Keyword Search
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    Chapter 16 Improving Re-ranking of Search Results Using Collaborative Filtering
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    Chapter 17 Learning to Integrate Web Catalogs with Conceptual Relationships in Hierarchical Thesaurus
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    Chapter 18 Discovering Authoritative News Sources and Top News Stories
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    Chapter 19 Chinese Question-Answering: Comparing Monolingual with English-Chinese Cross-Lingual Results
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    Chapter 20 Translation of Unknown Terms Via Web Mining for Information Retrieval
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    Chapter 21 A Cross-Lingual Framework for Web News Taxonomy Integration
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    Chapter 22 Learning Question Focus and Semantically Related Features from Web Search Results for Chinese Question Classification
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    Chapter 23 Improving the Robustness to Recognition Errors in Speech Input Question Answering
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    Chapter 24 An Adjacency Model for Sentence Ordering in Multi-document Summarization
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    Chapter 25 Poor Man’s Stemming: Unsupervised Recognition of Same-Stem Words
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    Chapter 26 NAYOSE: A System for Reference Disambiguation of Proper Nouns Appearing on Web Pages
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    Chapter 27 Efficient and Robust Phrase Chunking Using Support Vector Machines
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    Chapter 28 Statistical and Comparative Evaluation of Various Indexing and Search Models
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    Chapter 29 Bootstrap-Based Comparisons of IR Metrics for Finding One Relevant Document
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    Chapter 30 Evaluating Topic Difficulties from the Viewpoint of Query Term Expansion
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    Chapter 31 Incorporating Prior Knowledge into Multi-label Boosting for Cross-Modal Image Annotation and Retrieval
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    Chapter 32 A Venation-Based Leaf Image Classification Scheme
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    Chapter 33 Pic-A-Topic: Gathering Information Efficiently from Recorded TV Shows on Travel
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    Chapter 34 A Music Retrieval System Based on Query-by-Singing for Karaoke Jukebox
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    Chapter 35 A Semantic Fusion Approach Between Medical Images and Reports Using UMLS
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    Chapter 36 Automated Object Extraction for Medical Image Retrieval Using the Insight Toolkit (ITK)
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    Chapter 37 Stripe: Image Feature Based on a New Grid Method and Its Application in ImageCLEF
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    Chapter 38 An Academic Information Retrieval System Based on Multiagent Framework
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    Chapter 39 Comparing Web Logs: Sensitivity Analysis and Two Types of Cross-Analysis
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    Chapter 40 Concept Propagation Based on Visual Similarity
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    Chapter 41 Query Structuring with Two-Stage Term Dependence in the Japanese Language
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    Chapter 42 Automatic Expansion of Abbreviations in Chinese News Text
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    Chapter 43 A Novel Ant-Based Clustering Approach for Document Clustering
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    Chapter 44 Evaluating Scalability in Information Retrieval with Multigraded Relevance
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    Chapter 45 Text Mining for Medical Documents Using a Hidden Markov Model
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    Chapter 46 Multi-document Summarization Based on Unsupervised Clustering
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    Chapter 47 A Content-Based 3D Graphic Information Retrieval System
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    Chapter 48 Query Expansion for Contextual Question Using Genetic Algorithms
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    Chapter 49 Fine-Grained Named Entity Recognition Using Conditional Random Fields for Question Answering
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    Chapter 50 A Hybrid Model for Sentence Ordering in Extractive Multi-document Summarization
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    Chapter 51 Automatic Query Type Identification Based on Click Through Information
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    Chapter 52 Japanese Question-Answering System for Contextual Questions Using Simple Connection Method, Decreased Adding with Multiple Answers, and Selection by Ratio
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    Chapter 53 Multi-document Summarization Using a Clustering-Based Hybrid Strategy
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    Chapter 54 A Web User Preference Perception System Based on Fuzzy Data Mining Method
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    Chapter 55 An Analysis on Topic Features and Difficulties Based on Web Navigational Retrieval Experiments
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    Chapter 56 Towards Automatic Domain Classification of Technical Terms: Estimating Domain Specificity of a Term Using the Web
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    Chapter 57 Evaluating Score Normalization Methods in Data Fusion
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    Chapter 58 WIDIT: Integrated Approach to HARD Topic Search
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    Chapter 59 Automatic Query Expansion Using Data Manifold
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    Chapter 60 An Empirical Comparison of Translation Disambiguation Techniques for Chinese–English Cross-Language Information Retrieval
  62. Altmetric Badge
    Chapter 61 Web Mining for Lexical Context-Specific Paraphrasing
Overall attention for this book and its chapters
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Title
Information retrieval technology
Published by
Springer, January 2006
DOI 10.1007/11880592
ISBNs
978-3-54-045780-0, 978-3-54-046237-8
Authors

Ng, Hwee Tou

Editors

Hwee Tou Ng, Mun-Kew Leong, Min-Yen Kan, Donghong Ji

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 3%
Researcher 1 2%
Student > Doctoral Student 1 2%
Unknown 56 93%
Readers by discipline Count As %
Computer Science 4 7%
Unknown 56 93%