Contextual Font Recommendations based on User Intent
Sanat Sharma Jayant Kumar Jing Zheng Tracy Holloway King
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%.