math - What is the best algorithm to calculate the most scored item? -


I have music items that are scored by users between 1 and 5, and I run 5 most runs Create Formula Items

But obviously an item that receives 3.5 average scores from different average users of 1000, then more points will be received, only 5 users will get 4.9 average scores ... in other words It seems that if an item is carefully viewed for people to mark it, this indicates that the item is interesting so the parameters for votes in the calculation should be a power. (How much power? I'm not sure, and I'm asking you to get the idea).

I think that in the function we need the following parameters: Vote, VoteCount

< H2> You can use the weighted voting for 5-star system with many voters

(Internet Movie Database) to determine its IMDB's top 250, this calculation Uses. (Note: IMDB uses 10 stars, but formulas are similar to using 5 stars).

The weighted rating (WR) = (v ÷ (v + =) Votes = number of votes for movie = (vote)

  • = Average for movie (average) = (rating)
  • V =
  • M = Minimum votes that must be listed in the top 250 (current 3000)
  • C = Median vote in full report (currently 6.9)
< / Blockquote>


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