Information Retrieval Architecture and Algorithms

By: Gerald Kowalski

Write A Review

Hardcover | 10 December 2010

At a Glance

Hardcover
320 Pages

Dimensions(cm)
23.5 x 15.88 x 2.54

Hardcover

$84.99

or 4 interest-free payments of $21.25 with

Ships in 5 to 7 business days

This text presents a theoretical and practical examination of the latest developments in Information Retrieval and their application to existing systems. By starting with a functional discussion of what is needed for an information system, the reader can grasp the scope of information retrieval problems and discover the tools to resolve them. The book takes a system approach to explore every functional processing step in a system from ingest of an item to be indexed to displaying results, showing how implementation decisions add to the information retrieval goal, and thus providing the user with the needed outcome, while minimizing their resources to obtain those results.

The text stresses the current migration of information retrieval from just textual to multimedia, expounding upon multimedia search, retrieval and display, as well as classic and new textual techniques. It also introduces developments in hardware, and more importantly, search architectures, such as those introduced by Google, in order to approach scalability issues.

About this textbook:

A first course text for advanced level courses, providing a survey of information retrieval system theory and architecture, complete with challenging exercises
Approaches information retrieval from a practical systems view in order for the reader to grasp both scope and solutions
Features what is achievable using existing technologies and investigates what deficiencies warrant additional exploration

Industry Reviews

From the reviews:

"Kowalski indicates that the book can serve as a textbook for an IR systems course or as a resource for information on the practical aspects of IR. ... The book includes chapters on all the important fundamentals, offering clear explanations as well as a nice historical context. ... Summing Up: Recommended. ... Upper-division undergraduates through professionals." (H. Levkowitz, Choice, Vol. 49 (5), January, 2012)

"Kowalski's textbook is for advanced undergraduate and first-year graduate courses on information retrieval (IR) systems. The book's title accurately captures its theme: an introduction to the architecture and algorithms necessary to build an effective IR system. It contains nine chapters. ... It is a pleasure to read this book because it is very well written. ... All readers will quickly find that the language is very accurate and informative, and not dry at all. This is an excellent book on the subject." (Xiannong Meng, ACM Computing Reviews, June, 2011)

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

You Can Find This Book In

Non-Fiction Computing & I.T.Computer Science Human-Computer Interaction Information Architecture Databases Information Retrieval

Information Retrieval System Functions	p. 1
Introduction	p. 1
Primary Information Retrieval Problems	p. 3
Objectives of Information Retrieval System	p. 6
Functional Overview of Information Retrieval Systems	p. 10
Selective Dissemination of Information	p. 11
Alerts	p. 12
Items and Item Index	p. 13
Indexing and Mapping to a Taxonomy	p. 13
Understanding Search Functions	p. 14
Boolean Logic	p. 15
Proximity	p. 16
Contiguous Word Phrases	p. 17
Fuzzy Searches	p. 18
Term Masking	p. 18
Numeric and Date Ranges	p. 19
Vocabulary Browse	p. 20
Multimedia Search	p. 20
Relationship to Database Management Systems	p. 20
Digital Libraries and Data Warehouses	p. 22
Processing Subsystem Overview	p. 24
Summary	p. 25
Exercises	p. 26
Data Structures and Mathematical Algorithms	p. 27
Data Structures	p. 27
Introduction to Data Structures	p. 27
Inverted File Structure	p. 29
N-Gram Data Structures	p. 31
PAT Data Structure	p. 34
Signature File Structure	p. 38
Hypertext and XML Data Structures	p. 40
XML	p. 43
Mathematical Algorithms	p. 44
Introduction	p. 44
Bayesian Mathematics	p. 45
Shannon's Theory of Information	p. 47
Latent Semantic Indexing	p. 48
Hidden Markov Models	p. 53
Neural Networks	p. 56
Support Vector Machines	p. 58
Summary	p. 59
Exercises	p. 60
Ingest	p. 63
Introduction to Ingest	p. 63
Item Receipt	p. 64
Duplicate Detection	p. 67
Item Normalization	p. 71
Zoning and Creation of Processing Tokens	p. 72
Stemming	p. 76
Introduction to the Stemming Process	p. 77
Porter Stemming Algorithm	p. 79
Dictionary Look-Up Stemmers	p. 80
Successor Stemmers	p. 81
Conclusions on Stemming	p. 83
Entity Processing	p. 84
Entity Identification	p. 85
Entity Normalization	p. 86
Entity Resolution	p. 86
Information Extraction	p. 87
Categorization	p. 88
Citational Metadata	p. 92
Summary	p. 92
Exercises	p. 93
Indexing	p. 95
What is Indexing	p. 95
History	p. 96
Objectives	p. 97
Manual Indexing Process	p. 99
Scope of Indexing	p. 99
Precoordination and Linkages	p. 100
Automatic Indexing of Text	p. 102
Statistical Indexing	p. 105
Natural Language	p. 120
Concept Indexing	p. 125
Automatic Indexing of Multimedia	p. 129
Introduction to Mutlimedia Indexing	p. 130
Audio Indexing	p. 131
Image Indexing	p. 134
Video Indexing	p. 136
Summary	p. 137
Exercises	p. 139
Search	p. 141
Introduction	p. 141
Similarity Measures and Ranking	p. 142
Similarity Measures	p. 144
Hidden Markov Models Techniques	p. 152
Ranking Algorithms	p. 153
Relevance Feedback	p. 154
Selective Dissemination of Information Search	p. 157
Weighted Searches of Boolean Systems	p. 163
Multimedia Searching	p. 167
Summary	p. 168
Exercises	p. 170
Document and Term Clustering	p. 171
Introduction to Clustering	p. 171
Thesaurus Generation	p. 174
Manual Clustering	p. 175
Automatic Term Clustering	p. 176
Item Clustering	p. 184
Hierarchy of Clusters	p. 186
Automatic Hierarchical Cluster Algorithms	p. 189
Measure of Tightness for Cluster	p. 193
Issues with Use of Hierarchical Cluster Algorithms	p. 194
Summary	p. 195
Exercises	p. 197
Information Presentation	p. 199
Information Presentation Introduction	p. 199
Presentation of the Hits	p. 199
Sequential Listing of Hits	p. 200
Cluster View	p. 201
Network View	p. 205
Timeline Presentation	p. 208
Display of the Item	p. 210
Indicating Search Terms in Display	p. 210
Text Summarization	p. 211
Collaborative Filtering	p. 213
Page Ranking as Collaborative Filtering	p. 215
Multimedia Presentation	p. 216
Audio Presentation	p. 216
Image Item Presentation	p. 219
Video Presentation	p. 223
Human Perception and Presentation	p. 225
Introduction to Information Visualization	p. 226
Cognition and Perception	p. 229
Summary	p. 233
Exercises	p. 234
Search Architecture	p. 235
Index Search Optimization	p. 235
Pruning the Index	p. 236
Champion Lists	p. 236
Text Search Optimization	p. 237
Software Text Search Algorithms	p. 239
Hardware Text Search Systems	p. 244
GOOGLE Scalable Multiprocessor Architecture	p. 249
Summary	p. 251
Exercises	p. 252
Information System Evaluation	p. 253
Introduction to Information System Evaluation	p. 253
Measures Used in System Evaluations	p. 259
Multimedia Information Retrieval Evaluation	p. 269
Measurement Example: TREC Evolution	p. 271
Summary	p. 279
Exercises	p. 280
Bibliography	p. 283
Index	p. 301
Table of Contents provided by Ingram. All Rights Reserved.

Information Retrieval Architecture and Algorithms

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Databases

Confident Data Skills

Master the Fundamentals of Working with Data and Supercharge Your Career

Statistics and Data Handling for Biologists

A Student's Guide

Statistics and Data Handling for Biologists

A Student's Guide

Innovation and Knowledge Management in Manufacturing Industry

Case Studies and Applications

Natural Language Processing for Business and Organizations

Research and Innovation

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

The AI-Driven Data Team

Improve Your Analytics with AI

Data Quality Techniques

Strategies for Continuous Data Improvement

Architecting an Apache Iceberg Lakehouse

A Scalable, Open-Source Data Platform

Stochastic Control in Energy, Environmental and Resource Management Applications

Emerging Methodologies and Applications in Modelling, Identification and Control

Proceedings of the 6th International Conference on Big Data Analytics for Cyber-Physical System in Smart City, Volume 1

BDCPS 2024, December 7-8, Ji'an, China

Data Science and Social Research III

Epistemology, Methods, Technology, Applications, and Relation to Artificial Intelligence

Scenarios Engineering for Services Science

Towards Trustworthy and Reliable Services Systems with New AI

Machine and Computing Technologies for Sustainable Development

Proceedings of MCT4SD 2025, Volume 3

Data Mining and Information Security

Proceedings of ICDMIS 2025, Volume 4

Data Mining and Information Security

Proceedings of ICDMIS 2025, Volume 2

Code

2nd Edition - The Hidden Language of Computer Hardware and Software

Python All-in-One For Dummies

3rd Edition

Hands-On Programming with R

Write Your Own Functions and Simulations

The Art of Explanation

How to Communicate with Clarity and Confidence

Microsoft 365 Access For Dummies

Access for Dummies

The Value of People Analytics

Using HR Data to Drive Business Results

Microsoft Excel 365 Bible

Bible

Database Systems 6ed

A Practical Approach to Design, Implementation, and Management, Global Edition

This product is categorised by