Beyond the Click: Exploring the Potential of Graph Neural Networks to Transform Recommendations
from Zalando (Berlin, Germany)
About speaker
I am a Senior Applied Scientist at Zalando, specializing in building large-scale multimodal recommender systems.
About speakers company
Zalando is Europe’s leading online platform for fashion and lifestyle, connecting millions of customers with a diverse range of brands. Operating in 25+ markets, Zalando combines cutting-edge technology, data-driven personalization, and sustainability initiatives to create a seamless shopping experience. With a strong focus on AI-driven recommendations, logistics innovation, and circular fashion, Zalando is shaping the future of digital commerce.
Abstracts
Join us as we delve into Zalando's innovative integration of Graph Neural Networks (GNNs) to enhance the personalization of homepage content. This session will explore how GNNs were employed to generate dynamic user and content embeddings, capturing complex relational data beyond traditional static features. By focusing on the relational context within user-content interactions, GNNs have improved the prediction of click-through rates (CTR), leading to more tailored and engaging user experiences. Attendees will gain insights into the architecture of the GNN model, the methodologies for training and integrating these embeddings into existing systems, and the tangible benefits observed. This session is ideal for professionals interested in cutting-edge recommender systems and the practical applications of GNNs in large-scale e-commerce platforms.
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