A Transformer model with app-identity shuffling and ultra-long context achieves vocabulary-free next-app prediction with cross-dataset zero-shot capability and competitive cold-start performance.
Bernheim Brush
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A 9-week mixed-methods study with 12 families found home displays significantly increased mood and goal tracking frequency over smartwatches alone, with multi-device setups accommodating diverse family routines and preferences.
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STAP: A Shuffle-Tokenized App Predictor with Ultra Long Context for Vocabulary-Free Mobile App Prediction
A Transformer model with app-identity shuffling and ultra-long context achieves vocabulary-free next-app prediction with cross-dataset zero-shot capability and competitive cold-start performance.