Laying the foundations: Lists in Medium’s feature store, Part 1
Medium introduces a new list feature type in its feature store to address relational feature limitations and improve scalability.
MAIN POINTS
- The feature store is crucial for Medium's recommendation system, storing features for machine learning models.
- Relational features faced inefficiencies, prompting the development of a new list feature type.
- List features offer efficient cross-entity relations with a streamlined API and mandatory TTL for storage control.
TAKEAWAYS
- List features improve handling of cross-entity relations through efficient data retrieval and storage management.
- Operations on list features focus on scalability, supporting high call rates for adding and retrieving items.
- Future installments will explore implementation details and compare ScyllaDB and DynamoDB using production data.