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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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# [[A simple averaging technique to supplement the Bayes equation|Simple averaging]] |
# [[A simple averaging technique to supplement the Bayes equation|Simple averaging]], a [[Privacy enhancing straight average algorithm|privacy enhancing variant]] thereof, and an [[A straight average algorithm with continuous input distributions, complex trust, and intermediate results|averaging technique using with continuous input distributions, complex trust, and intermediate results]]. |
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# [[A trust weighted averaging technique to supplement straight averaging and Bayes|Trust weighted averaging]] |
# [[A trust weighted averaging technique to supplement straight averaging and Bayes|Trust weighted averaging]] |
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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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Revision as of 20:05, 10 September 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, a privacy enhancing variant thereof, and an averaging technique using with continuous input distributions, complex trust, and intermediate results.
- 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.