Chapter 4. Improving the User Search Experience

In the previous chapter, we extended our knowledge about query handling and data analysis. We started by looking at the query rescore that can help us when we need to recalculate the score of the top documents returned by a query. We controlled multi matching in Elasticsearch queries and looked at two new exciting aggregation types: significant terms aggregation and top hits aggregation. We discussed the differences in relationship handling and, finally, we extended our knowledge about the Elasticsearch scripting module and learned what the changes introduced were after the release of Elasticsearch 1.0. By the end of this chapter, we will have covered the following topics:

• Using the Elasticsearch Suggest API to correct user spelling mistakes
• Using the term suggester to suggest single words
• Using the phrase suggester to suggest whole phrases
• Configuring suggest capabilities to match your needs
• Using the completion suggester for the autocomplete...