Review management strategy in SEO Fundamentals - Time & Space Complexity
When managing online reviews, it is important to understand how the effort needed grows as the number of reviews increases.
We want to know how the time to handle reviews changes when more reviews come in.
Analyze the time complexity of the following review management process.
// Pseudocode for managing reviews
for each review in reviews:
check if review is positive or negative
respond to review
update review summary
This code goes through each review one by one, reads it, replies, and updates a summary.
Look at what repeats as the number of reviews grows.
- Primary operation: Looping through each review to process it.
- How many times: Once for every review in the list.
As the number of reviews increases, the time to manage them grows in a straight line.
| Input Size (n) | Approx. Operations |
|---|---|
| 10 | 30 operations |
| 100 | 300 operations |
| 1000 | 3000 operations |
Pattern observation: Doubling the reviews doubles the work needed.
Time Complexity: O(n)
This means the time to manage reviews grows directly with the number of reviews.
[X] Wrong: "Responding to one review takes the same total time no matter how many reviews there are."
[OK] Correct: Each review needs individual attention, so more reviews mean more total time.
Understanding how tasks grow with input size helps you plan and explain your approach clearly in real work situations.
"What if you batch process reviews instead of handling them one by one? How would the time complexity change?"