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Understanding and Evaluating Search Experience
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Understanding and Evaluating Search Experience/ by Maria Stone.
作者:
Stone, Maria.
面頁冊數:
XVII, 87 p.online resource. :
Contained By:
Springer Nature eBook
標題:
Computer networks . -
電子資源:
https://doi.org/10.1007/978-3-031-79216-8
ISBN:
9783031792168
Understanding and Evaluating Search Experience
Stone, Maria.
Understanding and Evaluating Search Experience
[electronic resource] /by Maria Stone. - 1st ed. 2022. - XVII, 87 p.online resource. - Synthesis Lectures on Information Concepts, Retrieval, and Services,1947-9468. - Synthesis Lectures on Information Concepts, Retrieval, and Services,.
Acknowledgments -- 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.
This 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.
ISBN: 9783031792168
Standard No.: 10.1007/978-3-031-79216-8doiSubjects--Topical Terms:
1365720
Computer networks .
LC Class. No.: TK5105.5-5105.9
Dewey Class. No.: 004.6
Understanding and Evaluating Search Experience
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Acknowledgments -- 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.
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This 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.
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