Contextual Font Recommendations based on User Intent
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Abstract (arXiv)
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%.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 8 of its 11 references that are in the map. First posted on arXiv 14 Jun 2023.
Builds on
8 of 11 references.
References · 8
- 2014Adam: A Method for Stochastic Optimizationcited by 37,240
- 2019DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lightercited by 4,307
- 2021SimCSE: Simple Contrastive Learning of Sentence Embeddingscited by 2,173
- 2014Deep metric learning using Triplet networkcited by 422
- 2019Large-scale Tag-based Font Retrieval with Generative Feature Learningcited by 22
- 2021Impressions2Font: Generating Fonts by Specifying Impressionscited by 10
- 2018Visual Font Pairingcited by 8
- 2021AdaptiFont: Increasing Individuals' Reading Speed with a Generative Font Model and Bayesian Optimizationcited by 5
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Citing papers per year: 2024: 1.
1 paper.