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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. |
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. |
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A number of aggregation techniques are possible |
A number of aggregation techniques are possible: |
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# [[wikipedia:Bayes' theorem|Bayes' equation]] with a [[Technical overview of the ratings system|simple example of its use]]. |
# [[wikipedia:Bayes' theorem|Bayes' equation]] with a [[Technical overview of the ratings system|simple example of its use]]. |
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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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More algorithms will be developed over time. Furthermore, the software will be built with an API to allow users to add their own algorithms. |
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Revision as of 21:43, 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:
- 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
More algorithms will be developed over time. Furthermore, the software will be built with an API to allow users to add their own algorithms.