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
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.
Some examples of use
Please let us know if you have a related reference with the scientific research.
- Recommendations have been investigated by Vlachos & Svonava (2012)
Comments & Talks
React on this algoritmic affordance and get in touch with the publisher over this algoritmic affordance Koen van Turnhout.