| Tag |
First Indicator |
Second Indicator |
Subfields |
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|a eng
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|
|a Turnbull, Doug,
|e author.
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| 245 |
1 |
0 |
|a Auto-Optimizing Elasticsearch Relevance /
|c Turnbull, Doug.
|
| 250 |
|
|
|a 1st edition
|
| 264 |
|
1 |
|b Manning Publications,
|c 2021.
|
| 300 |
|
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|a 1 online resource (1 video file, approximately 1 hr., 48 min.)
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|
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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| 337 |
|
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|a computer
|b c
|2 rdamedia
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| 338 |
|
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|a online resource
|b cr
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| 347 |
|
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|a video file
|
| 520 |
|
|
|a While it's classic to use classic machine learning to optimize search (aka Learning to Rank), there's even lower hanging fruit that requires much less ML infrastructure: automatically optimizing the Elasticsearch query and index with bayesian optimization.
|
| 533 |
|
|
|a Electronic reproduction.
|b Boston, MA :
|c Safari,
|n Available via World Wide Web.
|d 2021.
|
| 538 |
|
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|a Mode of access: World Wide Web.
|
| 542 |
|
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|f © 2022 Manning Publications Co. All rights reserved.
|g 2021
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| 550 |
|
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|a Online resource; Title from title screen (viewed December 17, 2021)
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| 952 |
f |
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|a Texas A&M University
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|h Library of Congress classification
|
| 998 |
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