# How Eventbrite Recommends Events Based on Your Social Network > A system that suggests events to you by analyzing your social media connections and your past attendance history to see what your friends are doing. - **Patent:** US 8700540 - **Original title:** Social event recommendations - **Owner:** Eventbrite Inc - **Granted:** 2014 - **Status:** Active - **Times cited:** 51 - **Field:** consumer_electronics, software, ecommerce ## What it does This patent describes a method for an event management system to suggest events to a user by pulling data from an external social network. It creates an internal map of the user's connections and looks at their event history to score how important those connections are. The system then ranks available events by combining this social data with specific event details like cost, location, and type. For example, if three of your close friends are attending a concert, the system uses this patent's logic to rank that concert higher on your personalized recommendation list. ## What it does NOT cover - Does not cover recommendations based solely on a user's own past behavior without considering social network data. - Does not cover systems that recommend events based on global popularity or trending lists rather than specific social connections. - Does not cover the actual mechanism of how a third-party social network stores or manages its own social graph data. - Does not cover offline or non-digital methods of event discovery or social networking. ## The clever bit The system doesn't just look at whether a friend is attending an event; it calculates a weighted score for the 'friend connection' itself, factoring in how often the two users have attended events together in the past. ## Real-world examples 1. Eventbrite's personalized event discovery feed 2. Facebook Events recommendations 3. Meetup's social-based event suggestions ## Why it matters This patent represents the shift toward social discovery in the early 2010s, where platforms moved from static listings to personalized feeds. It reflects the industry-wide effort to increase event attendance by leveraging the 'fear of missing out' (FOMO) through social validation. By formalizing how social graphs influence event discovery, it helped companies like Eventbrite integrate directly with platforms like Facebook to drive ticket sales. ## Frequently asked questions ### What does How Eventbrite Recommends Events Based on Your Social Network cover? A system that suggests events to you by analyzing your social media connections and your past attendance history to see what your friends are doing. ### Who owns patent US 8700540? Eventbrite Inc owns this patent, granted in 2014. ### When does this patent expire? This patent is expected to expire on April 15, 2034, when the invention enters the public domain. ### What is patent US 8700540 cited by? This patent has been cited by 51 later patents that build on its ideas. ### What problem does this patent solve? This patent represents the shift toward social discovery in the early 2010s, where platforms moved from static listings to personalized feeds. It reflects the industry-wide effort to increase event attendance by leveraging the 'fear of missing out' (FOMO) through social validation. By formalizing how social graphs influence event discovery, it helped companies like Eventbrite integrate directly with platforms like Facebook to drive ticket sales. ### What does this patent NOT cover? Does not cover recommendations based solely on a user's own past behavior without considering social network data. **Full plain-English explainer:** https://patentbrief.org/patent/us/8700540/facebook-messenger **Original patent:** https://patents.google.com/patent/US8700540 --- _Source: PatentBrief — https://patentbrief.org. Patent facts are from public records; the plain-English explanation is PatentBrief's._ ## Related patents Semantically similar inventions in the PatentBrief corpus: - [How Facebook Ranks Search Results Based on Your Friends' Activity](https://patentbrief.org/patent/us/8914392/facebook-events) — A method for ranking search results by prioritizing links that your social network friends have clicked on previously. - [Predicting User Interests Based on Who Looks at Whose Profile](https://patentbrief.org/patent/us/8311950/detecting-content-on-a-social-network-using-browsing-patterns) — A method for predicting what a user might be interested in by analyzing the web of connections created when people view each other's social media profile pages. - [How IMDb Knew If You'd Go to a Movie or Concert](https://patentbrief.org/patent/us/9202233/amazon-payments) — This 2015 IMDb patent describes a system that predicts if you'll attend an event, like a movie, by checking your phone's location near the event time and place, then sending you related content. - [How Facebook's Share Button Works Across Different Websites](https://patentbrief.org/patent/us/9602605/facebook-stories) — A patent describing how a social network can pull content from an outside website and share it with friends based on specific user-selected settings. - [How Facebook Uses Deep Learning to Predict What You Might Like](https://patentbrief.org/patent/us/10402750/automl-neural-architecture-search) — A method for training AI models to recommend new content by comparing a user's past interactions with unseen items in a social network.