I came across an article today that explains some flaws in commonly used sorting methods, with examples of why they're wrong, and then proposes a nice solution for more accurately sorting the truly higher rated stuff on top.
PROBLEM: You are a web programmer. You have users. Your users rate stuff on your site. You want to put the highest-rated stuff at the top and lowest-rated at the bottom. You need some sort of "score" to sort by.
WRONG SOLUTION #1: Score = (Positive ratings) - (Negative ratings)
Why it is wrong: Suppose one item has 600 positive ratings and 400 negative ratings: 60% positive. Suppose item two has 5,500 positive ratings and 4,500 negative ratings: 55% positive. This algorithm puts item two (score = 1000, but only 55% positive) above item one (score = 200, and 60% positive). WRONG.
Sites that make this mistake: Urban Dictionary
WRONG SOLUTION #2: Score = Average rating = (Positive ratings) / (Total ratings)
Why it is wrong: Average rating works fine if you always have a ton of ratings, but suppose item 1 has 2 positive ratings and 0 negative ratings. Suppose item 2 has 100 positive ratings and 1 negative rating. This algorithm puts item two (tons of positive ratings) below item one (very few positive ratings). WRONG.
Sites that make this mistake: Amazon.com
The article goes on to propose a better method of sorting things by their rating. A method which has even been endorsed by Randall Munroe of xkcd
fame, so you know it's good. (c:
Anyway, be sure to read the full article here:http://www.evanmille...-average-rating.html