Jublia AI has updated its recommendation engine to refine how event attendees identify relevant contacts, companies, products and opportunities.
The update focuses on increasing relevance and transparency while taking a proactive approach to content navigation. Designed to assist participants in managing large-scale events, the system processes broader contextual data when generating suggestions, preparing tailored recommendations in advance and displaying clear background context for each item to aid decision-making.
The system aims to streamline navigation across event schedules, exhibition floors and networking sessions, allowing attendees to focus time on targeted business goals. By providing clearer rationales behind matches, the engine allows users to assess suitability before initiating contact or adding sessions to their itinerary.
The update forms part of Jublia AI’s broader development of technology tools for the international exhibition and tradeshow sector, targeting improved audience engagement and productivity across trade events.
“The value of recommendations isn’t simply in showing people more options. It’s in helping them recognise which opportunities are relevant and giving them the context to make their own decisions,” said Kuan Yan Tan, CEO of Jublia AI.
“With this upgrade, we’re making discovery more relevant, proactive, and easier to understand, helping participants make the most of the opportunities available to them.”
