Deep Learning for Search

Chapter 9. A peek at performance

This chapter covers

• Setting up DL models in production
• Optimizing performance and deployment
• Getting real-life neural search systems to work with data streams

After reading the previous eight chapters, you hopefully have gained a broad understanding of deep learning and how it can improve search. At this point, you should be ready to make the most out of DL when setting up successful search engine systems for your users. Along the way, however, you may have wondered about applying these ideas to real-world production systems:

• How are these approaches applied in practice in a production scenario?
• Will adding these DL algorithms have a serious impact on the time and space constraints of your systems?
• How ...