Chapter 5. Improving the User Search Experience
In the previous chapter, we extended our knowledge with different approaches to data modeling, and discussed how relational data can be managed using nested and parent-child data types. We also talked about the aggregation module of Elasticsearch for data analytics purposes, including the concept of instant aggregations introduced in Elasticsearch 5.0, along with all four categories of aggregations, for instance, metric, bucket, pipeline, and the latest matrix aggregation available in Elasticsearch. In this chapter, we will focus on the topics for improving the user search experience using suggesters, which allow you to correct user query spelling mistakes and build efficient autocomplete mechanisms. In addition to that, we'll also cover how to implement synonym search in the applications. By the end of this chapter, we will have covered the following topics:
- Using the Elasticsearch suggesters to correct user spelling mistakes...
