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Feature #11: Generate Movie Viewing Orders

Feature #11: Generate Movie Viewing Orders

Implementing the "Generate Movie Viewing Orders" feature for our "Netflix" project.

Description

We want to offer marathons for our viewers. Each marathon will have a fixed set of movies catering to a specific taste. For a given marathon, different viewing orders of the movies will yield different user satisfaction results. We want to experiment (A/B testing) with different viewing orders of the same marathon.

Your task is to generate all the possible permutations of movies in a given marathon.

Let’s look at an example to better understand this:

Solution

To solve this problem, we will use the backtracking approach.

We will assume a backtrack function that takes the index of the first movie first, an array of movies movies, and an empty array res to consider as an arguments backtrack(movies, res, first).

  • If the first movie to consider has index n, then that means that the current permutation is done.

  • We will iterate over the marathon from index first to n - 1.

  • We will place the ith movie first in the permutation, that is, movies[first], movies[i] = movies[i], movies[first].

  • We will proceed to create all the permutations that start from the ith movie: backtrack(movies, res, first + 1).

  • Now we will backtrack, that is, movies[first], movies[i] = movies[i], movies[first] back.

Let’s look at some illustrations to understand this better:

Note: We are using numbers to represent movies in the following illustration.

Let’s look at the code for this ...