INFORMATION IN THIS ARTICLE
- What is Metadata?
- Three Metadata Strategies & How They Are Used
- Supply & Demand
- Matching Facts
- Metadata Fields in the Platform
What is Metadata?
Metadata is a set of data that describes and gives information about other data. Grip’s AI-powered matchmaking engine uses metadata to learn more about users and make accurate recommendations to those users. The AI is a self-learning system that will continue to deliver insightful recommendations to users the more they engage with the platform.
In order to deliver the best possible results, high-data quality is essential. Well-thought-out data strategies will improve the recommendations our matchmaking system delivers to the user.
Three Metadata Strategies & How They Are Used
There are three types of metadata categories that our AI matchmaking engine uses.
Three Metadata Categories
- Supply & Demand: The AI will use "Supply" and "Demand" metadata types to learn more about a user's true interests and match against the same value in the complementary category.
- Matching Facts: The AI will use "Matching Facts" to learn more about users' true interests and match against the same values selected by other users.
- Facts about a user: The AI will use "Facts" to learn more about users' true interests.
All of these categories can be learned from. Our AI will be able to learn from a user's actions in the platform through their interests and skips. The “Supply & Demand” and “Matching Facts” Metadata can be matched.
How These Categories Are Used
Each of these three metadata categories will have values that sit underneath them in the form of a question. Users will provide an answer to these questions while: registering for your event, onboarding while logging in for the first time, or while updating their networking preferences at any point while they use the platform.
Supply & Demand
Supply & Demand are metadata values that are used to match with each other. For example, one group of users may answer the supply metadata questions, while another group of users answer the demand metadata questions so that our AI can make the appropriate recommendation. Examples of Supply and Demand Metadata are below:
|Annual Turnover||Annual Turnover Interested|
|Average Product Price Provided||Average Product Price Interested|
|Company Activity||Company Activity Interested|
|Company Funding Stage||Company Funding Stage Interested|
|Company Type||Company Type Interested|
|Endorsements Provided||Endorsements Interested|
|Primary Role||Primary Role Interested|
|Product Categories Provided||Product Categories Interested|
|Product Country Provided||Product Country Interested|
|Product Province Provided||Product Province Interested|
|Show Sector||Show Sectors Interested|
|Product Type||Product Type Interested|
|Products Provided||Products Interested|
Matching Facts act as both Supply & Demand and is used to create immediate matches. For example, the AI will recommend users that have entered the same value for the Metadata questions that they answered. The matchmaking engine will also use the values under this category to learn more about the user’s true interests.
Examples of Metadata Questions for Matching Facts:
- Product Category
- Business Segment
- Subject Interested
- Language Spoken
- Mentorship Opportunities
Facts are metadata values used by our AI for learning purposes. This category helps our AI understand the user more to make the best recommendations.
Examples of Metadata Questions for Facts:
- Company Size
- Country of Origin
- Decision Maker
- Purchase Influencer
- Job Level
- Number of Stores
- Years of Experience
- Employment Status
- & more
Metadata Fields in the Platform
Metadata fields can be edited by event users in two areas. 1) During onboarding, and 2) On their profile.
During onboarding, the user is shown an overview of the metadata field options that have been enabled. The user can go into each question to select what they would like to enable. These fields can be single-select, multi-select, and free-form text.
On the user’s profile, an overview of all default fields (Name, Location, Headline, Company, Job Title, Summary) are shown in addition to the Metadata Fields that have been enable for the users Data Type in this event.