
Meta AI is developing a new system called Hierarchical Interest Representation to optimize ad performance on its platforms. This system uses transformer-based graph learning to create unified embeddings that link user interests with advertiser offerings. By combining real-world knowledge with engagement signals, it aims to improve ad relevance and personalization. This approach could transform how ads are delivered, making them more aligned with user interests and enhancing the overall ad experience.
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