This article is based on the recent work by Spotify team. However, such results do not guarantee that the relevant material for this query will be returned to the user. This returned result includes everything in its indexed metadata that contains each of the query words. For example, if a user searches for “electric vehicles climate impact,” Elasticsearch will return search results. Until recently, Spotify’s search was primarily based on phrase matching. While these strategies are extremely beneficial to the user, they have limitations in that they cannot capture all possible ways of expressing yourself in natural language, particularly when employing natural language sentences. ![]() This requires search algorithms to compensate using fuzzy matching, normalization, and even manual aliases. Users don’t always input the precise words they are searching for. ![]() 1 Shares This article is based on Spotify/s research article ' Introducing Natural Language Search for Podcast Episodes'
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