MARC details
| 000 -LEADER |
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| fixed length control field |
07188cam a2200409 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20250919001733.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
141201s2010 maua bi 001 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9780136072249 (alk. paper) |
| Terms of availability |
RM442.00 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
0136072240 (alk. paper) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
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| Level of rules in bibliographic description |
201711081558 |
| Level of effort used to assign nonsubject heading access points |
hamka |
| Level of effort used to assign subject headings |
201709081558 |
| Level of effort used to assign classification |
idah |
| Level of effort used to assign subject headings |
201708071544 |
| Level of effort used to assign classification |
ros |
| Level of effort used to assign subject headings |
201412081556 |
| Level of effort used to assign classification |
lan |
| y |
12-01-2014 |
| z |
binar |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
a DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Modifying agency |
YDX |
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BTCTA |
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YDXCP |
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BWX |
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CDX |
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OHS |
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MLN |
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OCLCF |
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OCLCO |
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OCLCQ |
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UKM |
| Description conventions |
rda |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TK5105.884.C744 3 |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
TK5105.884 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
.C744 3 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Croft, W. Bruce. |
| 245 10 - TITLE STATEMENT |
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| Title |
Search engines : |
| Remainder of title |
information retrieval in practice / |
| Statement of responsibility, etc. |
W. Bruce Croft, Donald Metzler, Trevor Strohman. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston : |
| Name of producer, publisher, distributor, manufacturer |
Addison-Wesley, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2010. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxv, 520 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm. |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
volume |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Includes bibliographical references : (p. [487]-511) and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
1 Search Engines and Information Retrieval ... 1 1.1 What is Information Retrieval? ... 1 1.2 Search Engines ... 6 1.3 Search Engineers ... 9 1.4 Book Overview ... 10 2 Architecture of a Search Engine ... 15 2.1 What is an Architecture? ... 15 2.2 Basic Building Blocks ... 16 2.3 Breaking It Down ... 19 2.3.1 Text Acquisition ... 19 2.3.2 Text Transformation ... 21 2.3.3 Index Creation ... 24 2.3.4 User Interaction ... 25 2.3.5 Ranking ... 27 2.3.6 Evaluation ... 29 2.4 How Does It Really Work? ... 30 3 Crawls and Feeds ... 33 3.1 Deciding what to search ... 33 3.2 Crawling the Web ... 33 3.3 Directory Crawling ... 34 3.4 Document Feeds ... 34 3.5 The Conversion Problem ... 34 3.6 Storing the Documents ... 35 3.7 Detecting Duplicates ... 36 3.8 Removing Noise ... 39 4 Processing Text ... 47 4.1 From Words to Terms ... 47 4.2 Text Statistics ... 49 4.2.1 Vocabulary Growth ... 54 4.2.2 Estimating Database and Result Set Sizes ... 57 4.3 Document Parsing ... 60 4.3.1 Overview ... 60 4.3.2 Tokenizing ... 61 4.3.3 Stopping ... 64 4.3.4 Stemming ... 65 4.3.5 Phrases and N-grams ... 71 4.4 Document Structure and Markup ... 75 4.5 Link Analysis ... 78 4.5.1 Anchor Text ... 79 4.5.2 PageRank ... 79 4.5.3 Link Quality ... 85 4.6 Information Extraction ... 87 4.7 Internationalization ... 92 5 Ranking with Indexes ... 99 5.1 Overview ... 99 5.2 Abstract Model of Ranking ... 100 5.3 Inverted indexes ... 103 5.3.1 Documents ... 105 5.3.2 Counts ... 107 5.3.3 Positions ... 108 5.3.4 Fields and Extents ... 110 5.3.5 Scores ... 112 5.3.6 Ordering ... 113 5.4 Compression ... 114 5.4.1 Entropy and Ambiguity ... 116 5.4.2 Delta Encoding ... 118 5.4.3 Bit-aligned codes ... 119 5.4.4 Byte-aligned codes ... 122 5.4.5 Looking ahead ... 123 5.4.6 Skipping and Skip Pointers ... 124 5.5 Auxiliary Structures ... 126 5.6 Index Construction ... 128 5.6.1 Simple Construction ... 128 5.6.2 Merging ... 130 5.6.3 Parallelism and Distribution ... 131 5.6.4 Update ... 136 5.7 Query Processing ... 138 5.7.1 Document-at-a-time evaluation ... 138 5.7.2 Term-at-a-time evaluation ... 140 5.7.3 Optimization techniques ... 142 5.7.4 Structured queries ... 150 5.7.5 Distributed evaluation ... 152 5.7.6 Caching ... 153 6 Queries and Interfaces ... 159 6.1 Information Needs and Queries ... 159 6.2 Query Transformation and Refinement ... 162 6.2.1 Stopping and Stemming Revisited ... 162 6.2.2 Spell Checking and Suggestions ... 165 6.2.3 Query Expansion ... 171 6.2.4 Relevance Feedback ... 179 6.2.5 Context and Personalization ... 183 6.3 Showing the Results ... 186 6.3.1 Result Pages and Snippets ... 186 6.3.2 Advertising and Search ... 189 6.3.3 Clustering the Results ... 193 6.4 Cross-Language Search ... 196 7 Retrieval Models ... 205 7.1 Overview of Retrieval Models ... 205 7.1.1 Boolean Retrieval ... 207 7.1.2 The Vector Space Model ... 209 7.2 Probabilistic Models ... 215 7.2.1 Information Retrieval as Classification ... 216 7.2.2 The BM25 Ranking Algorithm ... 221 7.3 Ranking based on Language Models ... 224 7.3.1 Query Likelihood Ranking ... 226 7.3.2 Relevance Models and Pseudo-Relevance Feedback ... 232 7.4 Complex Queries and Combining Evidence ... 238 7.4.1 The Inference Network Model ... 239 7.4.2 The Galago Query Language ... 245 7.5 Web Search ... 250 7.6 Machine Learning and Information Retrieval ... 255 7.6.1 Learning to Rank ... 256 7.6.2 Topic Models and Vocabulary Mismatch ... 259 7.7 Application-Based Models ... 262 8 Evaluating Search Engines ... 269 8.1 Why Evaluate? ... 269 8.2 The Evaluation Corpus ... 271 8.3 Logging ... 277 8.4 Effectiveness Metrics ... 280 8.4.1 Recall and Precision ... 280 8.4.2 Averaging and Interpolation ... 285 8.4.3 Focusing On The Top Documents ... 290 8.4.4 Using Preferences ... 293 8.5 Efficiency Metrics ... 294 8.6 Training, Testing, and Statistics ... 297 8.6.1 Significance Tests ... 297 8.6.2 Setting Parameter Values ... 302 8.7 The Bottom Line ... 304 9 Classification and Clustering ... 309 9.1 Classification and Categorization ... 310 9.1.1 Naive Bayes ... 312 9.1.2 Support Vector Machines ... 320 9.1.3 Evaluation ... 328 9.1.4 Classifier and Feature Selection ... 329 9.1.5 Spam, Sentiment, and Online Advertising ... 333 9.2 Clustering ... 343 9.2.1 Hierarchical and K-Means Clustering ... 344 9.2.2 K Nearest Neighbor Clustering ... 354 9.2.3 Evaluation ... 356 9.2.4 How to Choose K ... 357 9.2.5 Clustering and Search ... 359 10 Social Search ... 365 10.1 What is Social Search? ... 365 10.2 User Tags and Manual Indexing ... 366 10.3 Searching With Communities ... 366 10.4 Filtering and Recommending ... 366 10.4.1 Document Filtering ... 366 10.4.2 Collaborative Filtering ... 375 10.5 Personalization ... 380 10.6 Peer-to-Peer and Metasearch ... 380 10.6.1 Distributed search ... 380 10.6.2 P2P Networks ... 384 11 Beyond Bag of Words ... 391 11.1 Overview ... 391 11.2 Feature-Based Retrieval Models ... 392 11.3 Term Dependence Models ... 394 11.4 Structure Revisited ... 399 11.4.1 XML Retrieval ... 401 11.5 Longer Questions, Better Answers ... 404 11.6 Words, Pictures, and Music ... 408 11.7 One Search Fits All? ... 417 References ... 423 Index ... 445. |
| 520 1# - SUMMARY, ETC. |
|---|
| Summary, etc. |
'Search Engines: Information Retrieval in Practice introduces the key issues in information retrieval (IR) and shows how they affect the design and implementation of search engines, with mathematical models reinforcing important concepts. This book is ideal for an introductory course on IR at either the undergraduate or master's level or for professionals seeking an authoritative introduction. An extensive set of resources is available to instructors.'--BOOK JACKET. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Search engines |
| General subdivision |
Programming. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Information retrieval. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Metzler, Donald. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Strohman, Trevor. |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) |
|---|
| a |
.b16036244 |
| b |
2019-11-12 |
| c |
2019-11-12 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
AM |
| Suppress in OPAC |
No |
| Call number prefix |
TK5105.884.C744 3 |
| 914 ## - VTLS Number |
|---|
| VTLS Number |
vtls003574468 |
| 990 ## - EQUIVALENCES OR CROSS-REFERENCES [LOCAL, CANADA] |
|---|
| Link information for 9XX fields |
rab |
| 990 ## - EQUIVALENCES OR CROSS-REFERENCES [LOCAL, CANADA] |
|---|
| Link information for 9XX fields |
ns |
| 991 ## - LOCAL NOTE (NAMA FAKULTI/INSTITUT/PUSAT) |
|---|
| a |
Fakulti Teknologi dan Sains Maklumat |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) |
|---|
| Library |
PERPUSTAKAAN LINGKUNGAN KEDUA |
| Operator's initials, OID (RLIN) |
2014-01-12 |
| Cataloger's initials, CIN (RLIN) |
m |
| Material Type (Sierra) |
Printed Books |
| Language |
English |
| Country |
|
| -- |
0 |
| -- |
.b16036244 |
