# User weighting

List of current features being used in user weighting and their associated parameter weighting. These weights were determined based on [parameter optimization](parameter-optimization). The strategy for generating these features and corresponding weights are all open to change.

`return: 0.9`

`return_s: 2.8`

`return_w: 0.7`

`accuracy: 1.7`

`accuracy_s: 0.6`

`all_features: 1.5`

`all_features_s: 0.9`

```
all_features = accuracy * return * num_tweets
```
