how often does the letter n occur in:
1. why using structured results?
why using structured results?
instead, a successful search should attempt to communicate clearly and cleanly with a user on multiple levels when applicable, where different types of results help guide users to the information they want. sometimes, it’s desirable to showcase a particular piece of relevant content against the rest of a user’s standard query search results. this is why many believe in the value of leveraging “structured results”.
sponsored brands on an ecommerce search (see example and code on github).
first, take a look at the ecommerce example mentioned in the preceding section. you can view the code and follow along on github.
imagine a scenario where certain brands within your ecommerce site have requested that their brand will be displayed if it happens to match a user’s query. in your search, if you determine that someone is searching for a particular brand name, you can embed a section displaying the brand and its name within the main search interface.
next, determine the corresponding settings that would be configured in algolia.
these configuration changes make the typo tolerance more stringent. the next section addresses the last point: ensuring that all words match in order.
set hitsperpage to 1 because you only show the first result.
another constraint you may impose on the rendering of the structured result could be to check that the count of exact word matches is equal to the number of words in the value of the attribute being queried. for example, you may only want to show a brand when all words of that brand have been typed. check the getrandkinginfo documentation to learn about other useful metrics you can access in the results.
now imagine you’re iterating on an entertainment website that displays structured results on movies: if you can determine that someone is searching for a specific movie, you will embed a section displaying the movie details within the main search interface. that is, you’d like to communicate to the user that there might be a salient piece of content worth showcasing.
consider how you should structure your data. first, you need a main index, as with the ecommerce example. this is where people will always see traditional results even if there’s no structured data match.
this example is a bit simpler, as it only has a single data type to show structured results: movies. yet, you can imagine a circumstance where you would match on actors, directors, etc.
records with this structure would be stored in another index. keep in mind though that if your new index doesn’t contain any new data, it could be a replica of your primary index. (for example, searchable attributes or custom ranking order).
you can display the data and render the result exactly the same way as in the previous ecommerce example.
the movie and ecommerce examples you went over are just two scenarios among many that may call for structured data, all following a similar pattern of giving users the ability to search through multiple indices and showcase results accordingly.

user
In that passage, there are 167 occurrences of the letter "n."
assistant