{"product_id":"deep-learning-for-search-9781617294792","title":"Deep Learning for Search","description":"\u003cp\u003eSummary  Deep Learning for Search teaches you how to improve the effectiveness of your search by implementing neural network-based techniques. By the time youre finished with the book  youll be ready to build amazing search engines that deliver the results your users need and that get better as time goes on!  Foreword by Chris Mattmann.  About the Technology  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.  About the Book  Deep Learning for Search teaches you to improve your search results with neural networks. Youll review how DL relates to search basics like indexing and ranking. Then  youll walk through in-depth examples to upgrade your search with DL techniques using Apache Lucene and Deeplearning4j. As the book progresses  youll explore advanced topics like searching through images  translating user queries  and designing search engines that improve as they learn!  Whats inside Accurate and relevant rankings Searching across languages Content-based image search Search with recommendations About the Reader  For developers comfortable with Java or a similar language and search basics. No experience with deep learning or NLP needed.  About the Author  Tommaso Teofili is a software engineer with a passion for open source and machine learning. As a member of the Apache Software Foundation  he contributes to a number of open source projects  ranging from topics like information retrieval (such as Lucene and Solr) to natural language processing and machine translation (including OpenNLP  Joshua  and UIMA).  He currently works at Adobe  developing search and indexing infrastructure components  and researching the areas of natural language processing  information retrieval  and deep learning. He has presented search and machine learning talks at conferences including BerlinBuzzwords  International Conference on Computational Science  ApacheCon  EclipseCon  and others. You can find him on Twitter at @tteofili.  Table of 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\u003c\/p\u003e","brand":"My Store","offers":[{"title":"Default Title","offer_id":67894266232885,"sku":"ByrdShop_1617294799","price":34.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0627\/8139\/0901\/files\/9781617294792.jpg?v=1793765035","url":"https:\/\/atxbooks.com\/products\/deep-learning-for-search-9781617294792","provider":"ATX Books","version":"1.0","type":"link"}