Feed Ranking Model
Learn about the Feed Ranking system architecture and the model requirements.
We'll cover the following...
We'll cover the following...
3. Model
Feature engineering
| Features | Feature engineering | Description |
|---|---|---|
| User profile: job title, industry, demographic, etc. | For low cardinality: Use one hot encoding. Higher cardinality: use Embedding. | |
| Connection strength between users | Represented by the similarity between users. We can also use Embedding for users and measure the distance vector. | |
| Age of activity | Considered as a continuous feature or a binning value depending on the sensitivity of the Click target. | |
| Activity features | Type of activity, |