There are two options available for users to search and find assets in Libraries: Either via keywords or through Faceted Search. If you understand how each option works, you’ll be able to deliver a frictionless asset discovery process for your users.
However, no matter which option users choose, the asset classification (metadata) process is the most critical factor – determining how good or bad the search experience in your libraries will be. So, we can't stress enough how important it is to pay close attention to using high-quality labeling for every single asset. You can read more about tags and metadata here.
1. Search by Keyword
Once a user types a keyword in the search box, the search algorithm will retrieve the related assets and collections. These will be ranked based on relevance, which is the default sorting option after a search has been carried out. The ranking of results is based on whether the search query is found exactly or partially in the title of the asset, followed by the description, and finally, by tags and metadata.
An exact match ranks higher than a partial one. Therefore, assets that have the exact keyword in their title, description, tags, or metadata, will rank higher.
We suggest you review the suggested tags if you have this feature enabled. Some suggested tags might not be relevant to the asset, which might affect the search results.
Other available sorting options are straightforward and they sort results according to:
At the moment, the search engine in the Libraries supports two search commands that you can use to narrow down the search results:
AND: When you’re looking for assets with both keywords.
OR: When you’re looking for assets with either keyword.
Frontend vs. Backend Keyword Search
(Frontend keyword search)
(Backend keyword search)
2. Faceted Search
You can ensure a better search experience through Faceted Search. Based on tags or metadata, Faceted Search allows you to create multiple filters that classify results and display them more accurately. For more on that, check out the Faceted Search article.
In case you have any further questions, please don't hesitate to contact our support team.