Improving Search with Suggestions
Search suggestions can improve both system performance and end user experience at the same time. This instructor-led course provides a solid understanding of the different types of suggesters and how they impact performance and user search experience. You will learn how to implement a "did you mean" as well as an auto-completion suggester. It also covers how to weight your suggestions and how to scale your implementation. After completing this module, you will be well prepared to implement suggestions within your Elasticsearch solution.
- Introduction to Suggesters
- "Did you mean" Suggesters
- Autocomplete using Queries
- Autocomplete using Completion Suggesters
This course is a module of the Elasticsearch Advanced Search specialization. Find out how our focused Training Specializations can help you with your use case.
Software Developers and Engineers, Data Architects, DevOps
Virtual Classroom - 1 Day | 2-3 hours
We recommend you have taken Elasticsearch Engineer I and Elasticsearch Engineer II or possess equivalent knowledge. Engineer I and Engineer II teach the concepts that are the foundation upon which all specializations are built.
- Stable internet connection
- Mac, Linux, or Windows
- Latest version of Chrome or Firefox (Safari is not 100% supported)
Upcoming Classes — Improving Search with Suggestions
It was awesome. Both instructors are great speakers. They have a wide and deep knowledge about the topic, and they know how to pass it on. They are infecting with their enthusiasm.