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Advances in Information Retrieval Theory

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Cover of 'Advances in Information Retrieval Theory'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Is There Something Quantum-Like about the Human Mental Lexicon?
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    Chapter 2 Probably Approximately Correct Search
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    Chapter 3 PageRank: Splitting Homogeneous Singular Linear Systems of Index One
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    Chapter 4 Training Data Cleaning for Text Classification
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    Chapter 5 Semi-parametric and Non-parametric Term Weighting for Information Retrieval
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    Chapter 6 Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR
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    Chapter 7 Ordinal Regression Based Model for Personalized Information Retrieval
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    Chapter 8 Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models
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    Chapter 9 A Belief Model of Query Difficulty That Uses Subjective Logic
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    Chapter 10 “A term is known by the company it keeps”: On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
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    Chapter 11 An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model
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    Chapter 12 Time-Sensitive Language Modelling for Online Term Recurrence Prediction
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    Chapter 13 Score Distributions in Information Retrieval
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    Chapter 14 Modeling the Score Distributions of Relevant and Non-relevant Documents
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    Chapter 15 Modeling Expected Utility of Multi-session Information Distillation
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    Chapter 16 Specificity Aboutness in XML Retrieval
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    Chapter 17 An Effectiveness Measure for Ambiguous and Underspecified Queries
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    Chapter 18 An Analysis of NP-Completeness in Novelty and Diversity Ranking
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    Chapter 19 From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities
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    Chapter 20 A Quantum-Based Model for Interactive Information Retrieval
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    Chapter 21 The Quantum Probability Ranking Principle for Information Retrieval
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    Chapter 22 Written Texts as Statistical Mechanical Problem
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    Chapter 23 What Happened to Content-Based Information Filtering?
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    Chapter 24 Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models
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    Chapter 25 Robust Word Similarity Estimation Using Perturbation Kernels
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    Chapter 26 Possibilistic Similarity Estimation and Visualization
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    Chapter 27 A New Measure of the Cluster Hypothesis
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    Chapter 28 Explaining User Performance in Information Retrieval: Challenges to IR Evaluation
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    Chapter 29 A Four-Factor User Interaction Model for Content-Based Image Retrieval
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    Chapter 30 Predicting Query Performance by Query-Drift Estimation
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    Chapter 31 What’s in a Link? From Document Importance to Topical Relevance
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    Chapter 32 Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links
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    Chapter 33 Optimizing WebPage Interest
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    Chapter 34 The “Beautiful” in Information
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    Chapter 35 IR Evaluation without a Common Set of Topics
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    Chapter 36 An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification
  38. Altmetric Badge
    Chapter 37 Less Is More: Maximal Marginal Relevance as a Summarisation Feature
  39. Altmetric Badge
    Chapter 38 On the Notion of “An Information Need”
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    Chapter 39 A Logical Inference Approach to Query Expansion with Social Tags
  41. Altmetric Badge
    Chapter 40 Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark
  42. Altmetric Badge
    Chapter 41 Predicting the Usefulness of Collection Enrichment for Enterprise Search
  43. Altmetric Badge
    Chapter 42 Ranking List Dispersion as a Query Performance Predictor
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    Chapter 43 Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification
  45. Altmetric Badge
    Chapter 44 Batch-Mode Computational Advertising Based on Modern Portfolio Theory
Attention for Chapter 8: Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models
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Chapter title
Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models
Chapter number 8
Book title
Advances in Information Retrieval Theory
Published by
Springer, Berlin, Heidelberg, September 2009
DOI 10.1007/978-3-642-04417-5_8
Book ISBNs
978-3-64-204416-8, 978-3-64-204417-5
Authors

Natali Soskin, Oren Kurland, Carmel Domshlak, Soskin, Natali, Kurland, Oren, Domshlak, Carmel

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 17%
Unknown 5 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Student > Bachelor 1 17%
Researcher 1 17%
Lecturer 1 17%
Unknown 1 17%
Readers by discipline Count As %
Computer Science 3 50%
Mathematics 1 17%
Engineering 1 17%
Unknown 1 17%

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