Deep Learning for Search

Chapter 4. More-sensitive query suggestions

This chapter covers

• Common approaches to composing query suggestions
• Character-level neural language models
• Tuning parameters in neural networks

We’ve covered the fundamentals of neural networks and looked at the construction of both shallow and deep architectures for these networks. In practical terms, you now know how to integrate neural networks into a search engine to boost the search engine with two key features: synonym expansion and alternative query generation. Both of these features work on the search engine to make it smarter and return better results to the user. But can you do anything to improve the wording of the query itself? In particular, can you do anything to help the user write ...