Abstract
In this demonstration, we present Hike's sticker recommendation system, which helps users choose the right sticker to substitute the next message that they intend to send in a chat. We describe how the system addresses the issue of numerous orthographic variations for chat messages and operates under 20 milliseconds with low CPU and memory footprint on device.
Keywords
- AI: Machine Learning
- AI: Natural Language Processing
- AI: Recommender Systems
- Applications: Public services and social systems
