Real-world uses

Created for this library

1. 1.

   A retail recommendation team maps users and products into a shared latent space so similarity reflects affinity rather than raw feature overlap.

2. 2.

   A search team maps queries and documents into a shared latent space so semantically similar pairs end up close.

3. 3.

   A music platform learns a latent space where similar tracks cluster, enabling playlist algorithms to produce coherent sequences.