Deep learning for search /

"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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Teofili, Tommaso
Other Authors: Mattmann, Chris A.
Format: Electronic eBook
Language:Inglés
Published: Shelter Island, NY : Manning Publications Co., [2019]
Subjects:
Machine learning.
Neural networks (Computer science)
Web search engines.
Web sites > Design.
Neural Networks, Computer
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Moteurs de recherche sur Internet.
Sites Web > Conception.
Online Access:Texto completo (Requiere registro previo con correo institucional)
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.

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