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Execution of a Remark Rating Framework in light of Wilson's Score Span for Binomial Extents

Arun J Nair, Abhilash R Namboodiri, Pratibha Kantanavar

Abstract


Comparing the relevance and quality of comments and posts on social networking sites and ranking them on this basis has long been a goal of software developers. Different approaches have been tested for this function including rating systems based on total positive ratings, average ratings etc. with unsatisfactory results. The use of statistical tools, particularly modelling each post or comment as a Bernoulli trial allows them to be quantitatively compared. This paper seeks to apply computational techniques in the form of binomial proportion confidence intervals to estimate quality. This is the normal approximation to the binomial distribution, with the assumption that the likely distribution of error about an observation is normally distributed and draws upon improved techniques by Wilson (1927) and is applied to a web application use case.

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References


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