Skip to content

Latest commit

 

History

History
8 lines (6 loc) · 336 Bytes

README.md

File metadata and controls

8 lines (6 loc) · 336 Bytes

Learning embeddings from Co-occurrence statistics

This repository includes examples of how to:

  1. Create item co-occurrence statistics from tabular data using Apache Beam
  2. Learning item embeddings using TensorFlow tf.estimator APIs
  3. Extract the trained embeddings and build an approximate nearest neighbours index using ANNOY