Stock Recommendation Systems
Garrett shares exciting insights into leveraging LSTMs and convolutional neural networks for enhancing stock recommendations. By embedding user conversations and stock messages into a shared space, the goal is to help investors navigate vast amounts of information and discover relevant investment opportunities. This innovative approach aims to connect users with similar interests and provide tailored content that aligns with their investing strategies.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Natural Language Processing at StockTwits with Garrett Hoffman - TWiML Talk #194
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