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Deep learning for search

Title
Deep learning for search / Tommaso Teofili ; foreword by Chris Mattmann.
ISBN
9781638356271
1638356270
9781617294792
1617294799
Published
Shelter Island, NY : Manning Publications Co., [2019]
Physical Description
1 online resource (xxi, 303 pages) : illustrations
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
"Deep learning handles the toughest search challenges, including imprecise search terms, badly indexed data, and retrieving images with minimal metadata. And with modern tools like DL4J and TensorFlow, you can apply powerful DL techniques without a deep background in data science or natural language processing (NLP). This book will show you how. "Deep learning for search" teaches you to improve your search results with neural networks. You'll review how DL relates to search basics like indexing and ranking. Then, you'll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses, you'll explore advanced topics like searching through images, translating user queries, and designing search engines that improve as they learn!"-- Provided by publisher.
Variant and related titles
O'Reilly Safari. OCLC KB.
Other formats
Print version: Teofili, Tommaso. Deep learning for search. Shelter Island, NY : Manning Publications Co., [2019]
Format
Books / Online
Language
English
Added to Catalog
December 05, 2023
Bibliography
Includes index.
Contents
Part 1. Search meets deep learning. Neural search
Generating synonyms
Part 2. Throwing neural nets at a search engine. From plain retrieval to text generation
More-sensitive query suggestions
Ranking search results with word embeddings
Document embeddings for rankings and recommendations
Part 3. One step beyond. Searching across languages
Content-based image search
A peek at performance.
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