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.

"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 lan...

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.