In the world of search, users don’t always enter the precise words they are searching for, which can limit or misconstrue the results. This interesting information came to us from Mark Tech Post in their article, “Spotify Employs Natural Language Search/Semantic Search For Podcast Episodes.”
Search algorithms have to compensate using fuzzy matching, normalization and even manual aliases. While these strategies are extremely beneficial to the user, they have limitations in that they cannot capture all possible options available in natural language, particularly when employing natural language sentences.
Spotify’s search has primarily been based on phrase matching. This returned results including everything in its indexed metadata that contains each of the query words. However, such results do not guarantee that the relevant material for this query will be returned to the user.
This is where natural language processing (NLP) comes in. NLP is the ability of a computer program to understand human language as it is spoken and written. It is a component of artificial intelligence (AI) and has existed for more than 50 years with roots in the field of linguistics.
Whatever you are searching for, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
|
Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
