Our location recommender utilized natural language embeddings of massive databases of location details to match locations to groups of users and their respective social events. This engine allowed for curated social events to be built automatically with everyone’s preferences in mind.
Utilized ASR to transcribe 20+ years of cataloged audio records from a multimedia company, then created a semantic search engine via natural language embeddings to retrieve relevant recordings and pinpoint the most relevant audio segments down to the second level.