14.Weighted Parameters


Weighted Parameters

Tuning algoritmic parameters

14. Weighted Parameters

Recommender systems typically base controls on a certain parameter sets. Users may be allowed to add weights to different parameters to adjust the recommendation space they get.

What can designers do with this pattern?

Example of peer pickers


Fastcase 7

Input or output?


How do users control the algorithm?

Parameter adjustments using sliders and drag and drop options have been explored.

How do users understand the control?

Controls may be interpreted as a way to change the scope and bias in recommendations.

Related Patterns

Related algoritmic affordance pattern in this library are listed below.