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| 003 | ES-MaUEC | ||
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| 008 | 220601s2022 sz | o |||| 0|eng d | ||
| 020 | _a9783031792168 | ||
| 024 | 7 |
_a10.1007/978-3-031-79216-8 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aZA4230 _b2022 EB |
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| 100 | 1 |
_aStone, Maria _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _9686613 |
|
| 245 | 1 | 0 |
_aUnderstanding and Evaluating Search Experience _cby Maria Stone |
| 250 | _a1st edition 2022 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2022 |
|
| 300 | _a1 recurso en línea (XVII, 87 páginas) | ||
| 336 |
_atexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_aarchivo de texto _bPDF |
||
| 490 | 0 |
_aSynthesis Lectures on Information Concepts Retrieval and Services _x1947-9468 |
|
| 505 | 0 | _aAcknowledgments -- Introduction -- How Search Engines Work -- How Searchers Think About Search -- How Measurement Works -- Components of Search that Can Be Evaluated -- Units of Analysis: Query, Task, User -- Types of Metrics for Search Evaluation -- What Gets Left Out: Understanding -- References -- Author's Biography. | |
| 520 | _aThis book is intended for anyone interested in learning more about how search works and how it is evaluated. We all use search-it's a familiar utility. Yet, few of us stop and think about how search works, what makes search results good, and who, if anyone, decides what good looks like. Search has a long and glorious history, yet it continues to evolve, and with it, the measurement and our understanding of the kinds of experiences search can deliver continues to evolve, as well. We will discuss the basics of how search engines work, how humans use search engines, and how measurement works. Equipped with these general topics, we will then dive into the established ways of measuring search user experience, and their pros and cons. We will talk about collecting labels from human judges, analyzing usage logs, surveying end users, and even touch upon automated evaluation methods. After introducing different ways of collecting metrics, we will cover experimentation as it applies to search evaluation. The book will cover evaluating different aspects of search-from search user interface (UI), to results presentation, to the quality of search algorithms. In covering these topics, we will touch upon many issues in evaluation that became sources of controversy-from user privacy, to ethical considerations, to transparency, to potential for bias. We will conclude by contrasting measuring with understanding, and pondering the future of search evaluation. | ||
| 988 | _aSynthesis Collection of Technology_2022 | ||
| 650 | 7 |
_2embne _9156735 _aBuscadores de Internet |
|
| 776 | 0 | 8 |
_iPrinted edition: _z9783031792281 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031792045 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031792403 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-79216-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b02/2023 _dz _eb _zSI |
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