Social27, trusted by the Fortune 500, delivers scalable virtual events with live-streaming, video networking, and highly interactive virtual expos.
PrimeSens was responsible for building and maintaining Social27’s Recommendation Engine, which recommends personalized sessions, peer matches, round tables, and relevant ads to attendees. The engine uses machine learning and our proprietary AI technology to analyze attendees’ interests, preferences, and behaviors throughout the event to provide the most relevant recommendations.
This Recommendation Engine also comes with a Lead Matching Engine for businesses, sponsors, and event owners who are attending the event to find potential leads who have a high spending propensity.
This software handles large-scale ETL processes of millions of records and runs that data through ML models within a distributed Spark cluster.