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# [[Other possible algorithms for calculating binary predicates|An analysis of these methods and simple weighted averaging]] |
# [[Other possible algorithms for calculating binary predicates|An analysis of these methods and simple weighted averaging]] |
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# [[Trust-weighted histograms|Trust-weighted histograms]] |
# [[Trust-weighted histograms|Trust-weighted histograms]] |
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# [[Trust/Probability/Population graphs algorithm|Trust/Probability/Population graphs algorithm]] |
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# [[Binned and continuous distributions|Binned and continuous distributions]] |
# [[Binned and continuous distributions|Binned and continuous distributions]] |
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# [[Population distributions and graphical output with privacy|Population distributions and graphical output with privacy]] |
# [[Population distributions and graphical output with privacy|Population distributions and graphical output with privacy]] |
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Revision as of 21:32, 30 August 2024
Main article: Technical overview of the ratings system
Aggregation refers to the way we combine the opinions of others to obtain a final value of the opinion. A poll which takes the sum of each person's candidate preference in an election and then calculates the percentage for each candidate is an aggregation technique.
A number of aggregation techniques are possible. A few are listed here:
- Bayes' equation with a simple example of its use.
- Simple averaging and a privacy enhancing variant thereof.
- Trust weighted averaging
- An analysis of these methods and simple weighted averaging
- Trust-weighted histograms
- Trust/Probability/Population graphs algorithm
- Binned and continuous distributions
- Population distributions and graphical output with privacy