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Jul 2, 2020 at 11:56 answer added DragonLord timeline score: 2
Aug 22, 2019 at 17:17 vote accept Jack
Aug 22, 2019 at 8:29 answer added Neil Slater timeline score: 3
Aug 22, 2019 at 7:53 comment added Neil Slater @Jack: You can only optimise to a single metric. It doesn't have to be the sum of individual scores, your could do some other maths. But whatever it is has to capture the goals you have in a single number. As soon as you have more than one value - with different points at which they maximise - then there is no way to make a decision automatically.
Aug 21, 2019 at 20:16 history edited Jack
edited tags
Aug 21, 2019 at 18:03 comment added Jack @NuclearWang I kinda want both. but I'll settle for optimizing the number of good enough matches.
Aug 21, 2019 at 17:33 comment added Nuclear Hoagie Also would be useful to refine the performance metric - do you want to maximize the number of matches of have a score of at least X, or do you want to maximize the average score over all matches, or something else? There will be different algorithms and different results depending if you want to focus on optimal matches for a small group, or if you want "good enough" matches for a larger group.
Aug 21, 2019 at 17:18 comment added Jack @NeilSlater see edit.
Aug 21, 2019 at 17:18 history edited Jack CC BY-SA 4.0
added clarification about scoring
Aug 21, 2019 at 16:46 comment added Neil Slater Is the score only available in aggregate for the whole set? Do you have acess to the scoring metric? Quite important: Are you able to calculate changes to the score that occur when you swap partners between two or more pairs, faster than re-calculating the whole score? Also important: Are there any constraints on speed or other performance characteristics of the algorithm, or can the algorithm focus purely on the goal of optimising your score?
Aug 21, 2019 at 16:15 history asked Jack CC BY-SA 4.0