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What is Mobile App Classification with Word Embeddings about?

The paper presents an automated approach for classifying mobile applications into more focused categories using word embeddings, specifically GloVe, to enhance app visibility and discoverability. The study analyzes a dataset of 600 apps from the Apple App Store and demonstrates that the proposed classification method aligns closely with human-generated classifications. The findings suggest that this approach can address the challenges posed by static app categories and improve the discoverability of apps in

Author

Vasavi Desu

Language

EN