Contextual Font Recommendations Based on User Intent

Sanat Sharma, Jayant Kumar, JIng Zheng, Tracy Holloway King

Abstract:

Adobe Fonts has a rich library of over 20,000 unique fonts that
Adobe users utilize for creating graphics, posters, composites etc.
Due to the nature of the large library, knowing what font to select
can be a daunting task that requires a lot of experience. For most
users in Adobe products, especially casual users of Adobe Express,
this often means choosing the default font instead of utilizing the
rich and diverse fonts available. In this work, we create an intent-driven
system to provide contextual font recommendations to users
to aid in their creative journey. Our system takes in multilingual
text input and recommends suitable fonts based on the user’s intent.
Based on user entitlements, the mix of free and paid fonts is adjusted.
The feature is currently used by millions of Adobe Express users with a CTR of >25%.