HierTCN: Deep learning models for dynamic recommendations and inferring user interests

by Aditya Pal and Pong Eksombatchai | Applied ScienceAs we build a visual discovery engine, it’s crucial to understand user intent and serve relevant content through recommender systems that constantly learn from a cross-section of data to dynamically predict the next idea a Pinner will love. However, we found existing approaches to be limited by lack of speed and memory consumption and to not incorporate cross-session information. Additionally, a key challenge is that user interests dynamically...

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