At an event, there’s no shortage of people to meet, companies to explore, or products to discover. The challenge is knowing which opportunities are actually worth the attention.

Recommendations can help narrow that choice, but their value lies in more than simply presenting options. The goal is to help users discover the opportunities that matter most, with enough context into the relevance to understand why they’re worth exploring.

That’s where our upgraded Recommendation Engine comes in, making discovery more contextual, proactive, and easier to navigate.

A More Integrated Recommendation Experience

The Recommendation Engine has been upgraded to improve how recommendations are generated and experienced across the Engagement Hub.

Top Picks is now integrated into People, Companies, and Product pages, bringing personalized recommendations directly into the discovery experience. It now appears alongside the content users are already exploring, making relevant suggestions more visible throughout the platform. This helps users to uncover more relevant opportunities as they explore.

Behind this broader experience are three key improvements: the engine considers more context when identifying recommendations, prepares them proactively, and gives users clearer reasons behind each suggestion.

Recommendations That Go Beyond Stated Interests

Recommendations are more useful when they can account for more than what users explicitly say they’re interested in.

Our upgraded recommendation considers a broader range of context, including user attributes, actions, mutual interests, and patterns among people with similar interests. This allows recommendations to reflect different ways a connection can be relevant.

For example, a recommendation might fit a user’s preferences because it aligns with their interests. It could also appear because someone is seeking their profile, creating an opportunity that the user may not have actively searched for. A mutual match can indicate interest on both sides, while “Popular with peers” can surface something that people with similar interests are engaging with.

This creates more ways for users to discover relevant people, companies, and products — without relying entirely on what without relying entirely only on their profiles matches.

Recommendations That Are Ready When You Are

Relevance is only one part of the discovery experience. Timing matters too.

Previously, recommendations were generated when users initiated the discovery process. The upgraded engine now prepares recommendations proactively in the background, so they can be ready when users begin exploring.

This changes the experience from one that reacts to a request into one that works ahead of it. Instead of waiting for recommendations to be generated at the moment they are needed, users can start exploring with recommendations already prepared.

That matters in an event environment, where attendees and exhibitors are often moving between conversations, meetings, sessions, and other activities. When time and attention are limited, discovery should help users move forward — not add another step to the process.

Know Why Something Is Recommended

Even a relevant recommendation can be difficult to act on if there is no context behind it.

The upgraded experience introduces Match Labels directly on recommendation cards, giving users an at-a-glance explanation of why something has been recommended. Labels such as “Fits your focus,” “Mutual match,” and “Popular with peers” provide an immediate indication of the connection. More detailed matching information can then be explored within the relevant profile or page.

This changes an important part of the recommendation experience: users no longer have to assess suggestions without context. They can see the reasoning behind it and judge whether the connection is relevant to them.

That context can make recommendations easier to trust — not because users are asked to trust the system blindly, but because they have more information to make their own assessment.

Better Recommendation, Better Discovery

The upgrade to our Recommendation Engine is ultimately about more than improving how recommendations are generated.

It’s about making discovery more useful at every step: finding relevant opportunities through richer context, having recommendations ready when they’re needed, and understanding why they appear in the first place.

The goal isn’t more recommendations. It’s to help them discover the opportunities that matter most — and give them the context to decide what to explore next.

Want to see how Jublia AI can make discovery more relevant for your event? Book a demo to explore the Engagement Hub and our latest recommendation capabilities.

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