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020 _a9783031792168
024 7 _a10.1007/978-3-031-79216-8
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aZA4230
_b2022 EB
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
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
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
998 _b02/2023
_dz
_eb
_zSI