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// source: http://stackoverflow.com/questions/2134504/what-is-the-best-algorithm-to-calculate-the-most-scored-item

# Weighted voting for 5-star systems with lots of voters
You can use Bayesian estimates to calculate weighted voting.

IMDb (Internet Movie Database) uses this calculation to determine its IMDb Top 250.
(Note: IMDb uses 10 stars but the formulas are identical using 5 stars).

    The formula for calculating the Top Rated 250 Titles gives a true Bayesian estimate:
    weighted rating (WR) = (v ÷ (v+m)) × R + (m ÷ (v+m)) × C

    where:
        R = average for the movie (mean) = (Rating)
        v = number of votes for the movie = (votes)
        m = minimum votes required to be listed in the Top 250 (currently 3000)
        C = the mean vote across the whole report (currently 6.9)

References
IMDb: http://www.imdb.com/chart/top
Wikipedia: http://en.wikipedia.org/wiki/Internet_Movie_Database#User_ratings_of_films