Updates in Search | Yext Hitchhikers Platform
What You’ll Learn
In this section, you will learn:
- An overview of the new Search features from the Spring ‘23 Release
Improvements to Experience Training
Rich Text Featured Snippets
Users can now choose segments of rich text fields to be returned as a Rich Text Featured Snippet in search results, or select a passage from the rich text to be returned as an Extractive QA-style snippet.
Modify NLP Filters
In addition to approving and rejecting NLP Filters, you can modify NLP FIlters that are inferred from a given search query. Once a user opts to review NLP Filter predictions made for a query, a modal pops up with the option to override them by removing, adding, or selecting different filters. Options include selecting filters by vertical, field, and value for any given search term.
For example, when a user searches “jobs in New York” the algorithm may apply the filters
Entity Type = Jobs and
Location = York. While the location of York may be implied since it is part of the query, users are actually looking for jobs in the New York area. You will be able to override this result by selecting the proper vertical (i.e., Jobs) in the modal and then editing the
Location filter to equal
How This impacts You
These improvements to experience training allow you to have more control over your search results!
Modifying NLP Filters in experience training allows you to train the algorithm and ensure that the correct filters are being applied to a query in order to return the best entity results at the top of the page.
With the ability to also modify rich text featured snippets, you can now choose to better display featured snippets that contain formatting like bullet points, bolded text, and more. This makes longer form content, such as multi-step instructions, more digestible and easy to follow.
To turn this feature on in your account, navigate to Account Settings > Account Features and select Spring ‘23: Modify RTFS in Experience Training (early access), and Spring ‘23: Modify NLP Filters in Experience Training (early access) accordingly.
Search Platform: Key Improvements
We’ve made several incremental, but meaningful improvements to various parts of the Search platform that will enable users to more easily build impactful search experiences, including:
- Improved page load speed of the Experience Training table
- Improved visibility for Merchandiser in Test Search
- “Random Relevance” sort criteria to treat “Relevant” as an additional, separate filter
- Improved popular query filtering of Cross Site Scripting (XSS) attack tags
- A new configuration property called popularQueriesBlacklistRegex
- Improvements to Italian and German semantic search
- Improved clustering accuracy
How This impacts You
With features that improve page load speed, increase language support, and allow for further customization of the Search config (and more!), you have greater power and flexibility when it comes to building and analyzing search experiences.
To turn this feature on in your account, navigate to Account Settings > Account Features and select Spring ‘23: Search Platform: Key Updates & Improvements (early access).