| Description |
1 online resource (xxi, 303 pages) : illustrations |
| 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 |
| 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 |
| Bibliography |
Includes index |
| Subject |
Machine learning.
|
|
Neural networks (Computer science)
|
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Web search engines.
|
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Web sites -- Design.
|
|
Neural Networks, Computer
|
|
Machine Learning
|
|
Machine learning
|
|
Neural networks (Computer science)
|
|
Web search engines
|
|
Web sites -- Design
|
| Form |
Electronic book
|
| Author |
Mattmann, Chris A.
|
| LC no. |
2019285490 |
| ISBN |
9781638356271 |
|
1638356270 |
|
