In This blog, we will understand how AI Uses 10times data to recommend event.

In today’s age of hyper-personalization, users expect platforms to anticipate their needs—even before they articulate them. 

For business professionals looking to discover relevant events, conferences, or trade shows, that means receiving tailored recommendations instead of sifting through endless listings.

But how does this work behind the scenes?

How does AI make sense of all the interactions, preferences, and behaviors to surface the right events to the right users at the right time?

Top 5 ways AI uses 10times data

 Here are the Top 5 ways AI uses 10times data to recommend events effectively—and how organizers and professionals can benefit from this invisible engine of insight.

1. User Behavior Patterns: From Clicks to Conversions

AI starts by observing how users interact with the platform. This includes:

• What events they click on

• How long they spend on an event page

• Whether they register, save, or share an event

• What industries or topics they tend to explore

• Past events they’ve attended or shown interest in

All this behavioral data is used to build individual user profiles and identify patterns.

For example, if a user frequently engages with SaaS or fintech events, the system prioritizes future events in those domains—even if they haven’t searched for them directly.

Why it matters:–

This behavioral modeling allows 10times to offer personalized recommendations on its homepage, mobile app, and email alerts, increasing registration likelihood.

2. Contextual Data Matching: Time, Location & Format

AI goes beyond behavior—it understands context.

By analyzing the user’s location, device type, and time zone, it optimizes recommendations based on what makes practical sense. For instance:

• A user in Bangalore may see more in-person events nearby

• A mobile user may be shown short-duration or hybrid events suitable for quick decision-making

• A person browsing late at night might get follow-up reminders during optimal engagement hours

The algorithm also matches date proximity and event format preferences—e.g., showing virtual events to remote users or last-minute events to spontaneous planners.

Why it matters:–

Relevance isn’t just about content—it’s about timing and convenience. AI ensures recommended events are both appealing and actionable.

3. Professional Profile & Industry Relevance

When users sign up or interact with 10times, they often provide their:

• Job title
• Company size
• Industry
• Event goals (learning, networking, exhibiting, etc.)

This data helps 10times AI map users to industry clusters and professional cohorts. For example:

A marketing director from a SaaS company might be matched to events attended by other marketing leads in similar firms

A small business owner in the apparel industry could be recommended regional trade expos and sourcing shows

AI doesn’t just match one-to-one—it uses collaborative filtering, a technique that looks at similar user behaviors to enhance recommendations.

Why it matters:–

This ensures the content users see aligns with their career path, goals, and what their peers are exploring—creating a “people like me” discovery experience.

4. Event Metadata & Content Semantics

Every event listed on 10times contains a wealth of metadata—like:

• Event title and description
• Tags (industry, topics, format)
• Speaker names and topics
• Location and organizer details
• Session schedules, exhibitors, and agendas

AI systems analyze this metadata using natural language processing (NLP) to understand the themes, topics, and expertise levels of each event.

This means two events with the title “Marketing Conference” may be recommended to entirely different users based on:

• One focusing on B2B content strategies

• Another centered around consumer marketing and branding

Even speaker names are semantically analyzed—if a user follows or engages with a known speaker, events featuring similar profiles are prioritized.

Why it matters:–

AI ensures recommendations aren’t just about titles—they’re about actual substance and alignment with user interests.

5. Social Proof & Community Signals

AI also evaluates crowd behavior to fine-tune recommendations. This includes:

• Which events are gaining traction among professionals in similar roles

• How many users have marked the event as “interested”

• User-generated reviews, ratings, and post-event feedback

• Repeat attendance metrics (is it a returning, popular event?)

When many users from a specific industry or region are engaging with an event, AI boosts its visibility to others in that cohort—creating a social proof loop.

This helps surface high-quality, trending events organically.

Think of it as the AI saying: “People like you are attending this. You might want to check it out.”

Why it matters:–

Events don’t exist in a vacuum—community validation adds credibility. AI uses this to recommend what’s hot and trusted.

Bonus: Real-Time Learning & Continuous Optimization

One of the most powerful aspects of AI on 10times is that it’s constantly learning. 

Every click, registration, review, and even bounce is a signal used to refine future recommendations.

The more users engage, the smarter the algorithm becomes

For organizers, this means that better event listings—with clearer titles, richer descriptions, and strong engagement—get rewarded with higher discoverability.

What This Means for Event Organizers

If you’re listing your event on 10times, here’s how to align with the AI engine:

✅ Optimize Metadata:

• Use clear, keyword-rich titles
• Tag industries and topics accurately
• Include speaker bios and session themes
  

✅ Encourage Engagement:

• Prompt early “interested” clicks
• Ask past attendees to rate and review
• Share your event to drive initial momentum (which the AI picks up)
  

✅ Target the Right Profiles:

• Use 10times’ oDash platform to run personalized campaigns
• Segment emails based on job roles, location, and past behaviors
• Monitor who’s engaging and refine your messaging accordingly
  

What This Means for Attendees

If you’re a professional discovering events on 10times:

Update your profile with accurate job title and interests

Interact with events (click “Interested”, bookmark, review) to help AI learn your preferences

Trust the feed—it’s powered by data from people like you and gets better with each interaction

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Final Thoughts: AI Makes Discovery Smarter, Not Harder

In a world overflowing with content, AI is your filter. 

On 10times, it’s working in the background 24/7—analyzing millions of data points to ensure the right events find the right people.

For organizers, this means smarter marketing with less manual targeting. 

For professionals, it means discovering events that truly match your career, interests, and intent—without wasting time.

And the best part? The more you use it, the smarter it gets.

👉 List your event now at 10times.com