
AI-Powered Search
Manning Publications (Publisher)
Published on 14. February 2025
Book
Hardback
520 pages
978-1-61729-697-0 (ISBN)
Description
Learn everything about the latest machine learning techniques and create search engines that drive more domain-aware and intelligent search. AI-Powered Search teaches you the latest machine-learning techniques to create search engines that continuously learn from your users and your content. Written by Trey Grainger, the Chief Algorithms Officer at Lucidworks, this authoritative book empowers you to create and deploy search engines that take advantage of user interactions and hidden semantic relationships.
This book is ideal for software developers or data scientists familiar with the basics of search engine development. It will show you ways to create content that will constantly get smarter and automatically deliver better, more relevant search experiences.
What's inside
Reflected intelligence to continually learn and improve search relevancy
Natural language search with automatically-learned knowledge graphs
Semantic search, with domain-specific terms, phrases, concepts, and relationships
Personalised search, utilising user behavioural signals and learned user profiles
Automated Learning to Rank (machine-learned ranking) from user signals
Word embeddings, vector search, question answering, image and voice search, and other modern search paradigms
About the technology The search box has become the "de facto" user interface for modern data-driven applications. Users expect the software to fully understand their search inputs, context, and activity and return the right answers, every time. Fortunately, you no longer need a massive team manually adjusting relevancy parameters to deliver optimal search results. Using the power of AI, you can develop search solutions that dynamically learn from your content and users, constantly getting smarter and delivering better answers.
This book is ideal for software developers or data scientists familiar with the basics of search engine development. It will show you ways to create content that will constantly get smarter and automatically deliver better, more relevant search experiences.
What's inside
Reflected intelligence to continually learn and improve search relevancy
Natural language search with automatically-learned knowledge graphs
Semantic search, with domain-specific terms, phrases, concepts, and relationships
Personalised search, utilising user behavioural signals and learned user profiles
Automated Learning to Rank (machine-learned ranking) from user signals
Word embeddings, vector search, question answering, image and voice search, and other modern search paradigms
About the technology The search box has become the "de facto" user interface for modern data-driven applications. Users expect the software to fully understand their search inputs, context, and activity and return the right answers, every time. Fortunately, you no longer need a massive team manually adjusting relevancy parameters to deliver optimal search results. Using the power of AI, you can develop search solutions that dynamically learn from your content and users, constantly getting smarter and delivering better answers.
Reviews / Votes
"Great grounding in advanced search topics like signals boosting, while not ignoring the basics at the same time."Ian Pointer
"If someone was building an AI-Powered Search application, I'd point them to this book as reference."
George Seif
"Nothing compares to this book."
Al Krinker
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Illustrations
Illustrations
Dimensions
Height: 231 mm
Width: 186 mm
Thickness: 35 mm
Weight
940 gr
ISBN-13
978-1-61729-697-0 (9781617296970)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Trey Grainger | Doug Turnbull | Max Irwin
AI-Powered Search
E-Book
02/2025
1st Edition
Simon + Schuster LLC
€58.34
Available for download
Persons
Trey Grainger is the Chief Algorithms Officer at Lucidworks, the AI-powered search company that powers hundreds of the world's leading organizations. Trey co-authored Solr in Action and has over 12 years of experience building semantic search engines, recommendation engines, and real-time analytics systems, and leading related engineering and data science teams.