Sreeram Ajay

Fusion AutoEncoder: Feature-Grounded Embeddings for Products with Mixed Structured Attributes

We present Fusion AutoEncoder, a masked autoencoding architecture for learning compact, feature-grounded embeddings from heterogeneous structured attributes. Product catalogs in industrial recommender systems combine categorical descriptors, numeric commercial signals, multi-value attributes, vector-valued context, beh...