did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780898715811

Understanding Search Engines

by ;
  • ISBN13:

    9780898715811

  • ISBN10:

    0898715814

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2005-04-01
  • Publisher: Society for Industrial & Applied

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $52.27 Save up to $19.34
  • Rent Book $32.93
    Add to Cart Free Shipping Icon Free Shipping

    TERM
    PRICE
    DUE
    SPECIAL ORDER: 1-2 WEEKS
    *This item is part of an exclusive publisher rental program and requires an additional convenience fee. This fee will be reflected in the shopping cart.

Supplemental Materials

What is included with this book?

Summary

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly.

Author Biography

Michael W. Berry is a Professor and Interim Department Head in the Department of Computer Science at the University of Tennessee and a faculty member in the Graduate School in Genome Science & Technology Program at the University of Tennessee and Oak Ridge National Laboratory. His current research interests include information retrieval, data mining, scientific computing, computational science, numerical linear algebra, and parallel computation.Murray Browne is a Research Associate in the Computer Science Department at the University of Tennessee. He is a member of the American Society for Information Science and Technology and has published numerous essays, book reviews, newspaper articles, and feature stories.

Table of Contents

Preface to the Second Edition xi
Preface to the First Edition xv
Introduction
1(10)
Document File Preparation
2(2)
Manual Indexing
2(1)
File Cleanup
3(1)
Information Extraction
4(1)
Vector Space Modeling
4(2)
Matrix Decompositions
6(1)
Query Representations
7(1)
Ranking and Relevance Feedback
8(1)
Searching by Link Structure
9(1)
User Interface
9(1)
Book Format
10(1)
Document File Preparation
11(18)
Document Purification and Analysis
12(2)
Text Formatting
13(1)
Validation
14(1)
Manual Indexing
14(2)
Automatic Indexing
16(3)
Item Normalization
19(2)
Inverted File Structures
21(8)
Document File
22(1)
Dictionary List
23(1)
Inversion List
24(2)
Other File Structures
26(3)
Vector Space Models
29(16)
Construction
29(5)
Term-by-Document Matrices
30(2)
Simple Query Matching
32(2)
Design Issues
34(11)
Term Weighting
34(4)
Sparse Matrix Storage
38(2)
Low-Rank Approximations
40(5)
Matrix Decompositions
45(18)
QR Factorization
45(6)
Singular Value Decomposition
51(7)
Low-Rank Approximations
55(1)
Query Matching
55(2)
Software
57(1)
Semidiscrete Decomposition
58(1)
Updating Techniques
59(4)
Query Management
63(8)
Query Binding
63(2)
Types of Queries
65(6)
Boolean Queries
65(1)
Natural Language Queries
66(1)
Thesaurus Queries
66(1)
Fuzzy Queries
67(1)
Term Searches
67(1)
Probabilistic Queries
68(3)
Ranking and Relevance Feedback
71(6)
Performance Evaluation
72(3)
Precision
73(1)
Recall
73(1)
Average Precision
74(1)
Genetic Algorithms
75(1)
Relevance Feedback
75(2)
Searching by Link Structure
77(12)
HITS Method
79(5)
HITS Implementation
81(1)
HITS Summary
82(2)
PageRank Method
84(5)
PageRank Adjustments
85(2)
PageRank Implementation
87(1)
PageRank Summary
88(1)
User Interface Considerations
89(8)
General Guidelines
89(1)
Search Engine Interfaces
90(7)
Form Fill-in
91(1)
Display Considerations
92(1)
Progress Indication
92(1)
No Penalties for Error
93(1)
Results
93(1)
Test and Retest
94(1)
Final Considerations
95(2)
Further Reading
97(6)
General Textbooks on IR
97(1)
Computational Methods and Software
98(2)
Search Engines
100(1)
User Interfaces
100(3)
Bibliography 103(10)
Index 113

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program