15.071 | Spring 2017 | Graduate

The Analytics Edge

9.3 eHarmony: Maximizing the Probability of Love

9.3 eHarmony: Maximizing the Probability of Love

Quick Question

 

In the previous video, we saw a small example with 3 men and 3 women. We defined a “match” as an assignment of each man to exactly one woman, and each woman to exactly one man. The optimal match in the previous video was to assign man 1 to woman 3, man 2 to woman 1, and man 3 to woman 2.

How many different feasible matches are there in the example with 3 men and 3 woman? (HINT: Another feasible match is to assign man 1 to woman 1, man 2 to woman 3, and man 3 to woman 2.)

Exercise 1

 Numerical Response 

 

How many different feasible matches are there with 5 men and 5 women? (HINT: First assign man 1 to one of the women. How many choices are there? Then assign man 2 to a woman - how many choices are there now? Repeat this until every man is matches to every woman.)

Exercise 2

 10 

 20 

 50 

 100 

 120 

 150 

Explanation

In the first case, there are 6 possible matches. The first man can be assigned to any of the 3 women (3 choices). Then the second man can be assigned to any of the remaining 2 women (2 choices). The third man is automatically assigned to the remaining woman. So there are a total of 3*2 = 6 choices.

In the second case, there are 120 possible matches. The first man can be assigned to any of the 5 women (5 choices), then the second man can be assigned to any of the remaining women (4 choices), etc. This gives a total of 5*4*3*2 = 120 different matches.

You can easily see how the number of possible matches gets very large on online dating sites!

CheckShow Answer

 

Course Info

As Taught In
Spring 2017
Level
Learning Resource Types
Lecture Videos
Lecture Notes
Problem Sets with Solutions