Deep Learning for Search

• Main Author: Teofili, Tommaso (Author)
• Other Authors: Mattmann, Chris (writer of foreword)
• Format: Book
• Language: English
• Published: Shelter Island, NY Manning Publications Co. 2019
• Subjects: Machine learning; Neural networks (Computer science); Web search engines; Web sites > Design
• Online Access: Click Here to View Status and Holdings.
• Item Description: Includes index
• Physical Description: xxi, 303 pages illustrations 24 cm
• ISBN: 9781617294792; 1617294799

"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!"--