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Advances in Information Retrieval Theory

Overview of attention for book
Cover of 'Advances in Information Retrieval Theory'

Table of Contents

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    Book Overview
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    Chapter 1 Axiomatic Analysis and Optimization of Information Retrieval Models
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    Chapter 2 What Is Quantum Information Retrieval?
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    Chapter 3 User Perspectives on Query Difficulty
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    Chapter 4 A Unified Framework for Post-Retrieval Query-Performance Prediction
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    Chapter 5 Predicting the Performance of Recommender Systems: An Information Theoretic Approach
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    Chapter 6 Trading Spaces: On the Lore and Limitations of Latent Semantic Analysis
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    Chapter 7 Quantum Latent Semantic Analysis
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    Chapter 8 Pure High-Order Word Dependence Mining via Information Geometry
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    Chapter 9 Promoting Divergent Terms in the Estimation of Relevance Models
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    Chapter 10 Is Document Frequency Important for PRF?
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    Chapter 11 Model-Based Inference about IR Systems
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    Chapter 12 Selecting a Subset of Queries for Acquisition of Further Relevance Judgements
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    Chapter 13 On the Feasibility of Unstructured Peer-to-Peer Information Retrieval
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    Chapter 14 Can Information Retrieval Systems Be Improved Using Quantum Probability?
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    Chapter 15 An Analysis of Ranking Principles and Retrieval Strategies
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    Chapter 16 Towards a Better Understanding of the Relationship between Probabilistic Models in IR
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    Chapter 17 Cognitive Processes in Query Generation
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    Chapter 18 Protocol-Driven Searches for Medical and Health-Sciences Systematic Reviews
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    Chapter 19 Enhanced Information Retrieval Using Domain-Specific Recommender Models
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    Chapter 20 Exploring Ant Colony Optimisation for Adaptive Interactive Search
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    Chapter 21 Applying the User-over-Ranking Hypothesis to Query Formulation
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    Chapter 22 How to Count Thumb-Ups and Thumb-Downs: User-Rating Based Ranking of Items from an Axiomatic Perspective
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    Chapter 23 Aggregated Search Result Diversification
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    Chapter 24 Topical Categorization of Search Results Based on a Domain Ontology
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    Chapter 25 Advances in Information Retrieval Theory
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    Chapter 26 Negation for Document Re-ranking in Ad-hoc Retrieval
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    Chapter 27 A Descriptive Approach to Classification
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    Chapter 28 Do Subtopic Judgments Reflect Diversity?
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    Chapter 29 On Upper Bounds for Dynamic Pruning
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    Chapter 30 A Comparative Study of Pseudo Relevance Feedback for Ad-hoc Retrieval
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    Chapter 31 A Generic Data Model for Schema-Driven Design in Information Retrieval Applications
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    Chapter 32 A Query-Basis Approach to Parametrizing Novelty-Biased Cumulative Gain
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    Chapter 33 Investigating Query-Drift Problem from a Novel Perspective of Photon Polarization
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    Chapter 34 Using Emotion to Diversify Document Rankings
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    Chapter 35 Improved Stable Retrieval in Noisy Collections
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    Chapter 36 On the use of Complex Numbers in Quantum Models for Information Retrieval
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    Chapter 37 A Query Performance Analysis for Result Diversification
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    Chapter 38 Rare Disease Diagnosis as an Information Retrieval Task
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    Chapter 39 Distilling Relevant Documents by Means of Dynamic Quantum Clustering
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    Chapter 40 Adding Emotions to Pictures
Overall attention for this book and its chapters
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Title
Advances in Information Retrieval Theory
Published by
Springer Berlin Heidelberg, September 2011
DOI 10.1007/978-3-642-23318-0
ISBNs
978-3-64-223317-3, 978-3-64-223318-0
Editors

Amati, Giambattista, Crestani, Fabio, Amati, Giambattista, Crestani, Fabio

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The data shown below were collected from the profiles of 6 X users 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Social Sciences 1 33%
Unknown 2 67%

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