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Design a Food Rating System

Medium
65.6%
Updated 6/1/2025

Design a Food Rating System

1. What is this problem about?

The Design a Food Rating System interview question involves creating a system that tracks ratings for various food items across different cuisines. You need to support updating the rating of a specific food and querying the highest-rated food for a given cuisine. If there’s a tie in ratings, the lexicographically smaller food name wins. This Design a Food Rating System coding problem is a test of managing complex relationships and maintaining sorted data efficiently.

2. Why is this asked in interviews?

Companies like Microsoft and Google ask this to assess your ability to choose and combine data structures for optimal performance. It evaluates your knowledge of Design interview patterns, specifically how to handle frequent updates while keeping global maximums accessible. It tests your ability to manage "stale" data in priority-based structures.

3. Algorithmic pattern used

This problem uses a combination of Hash Map and Ordered Set (or Priority Queue).

  • Map<String, Integer>: To store the rating of each food for O(1)O(1) lookups.
  • Map<String, String>: To store which cuisine a food belongs to.
  • Map<String, TreeSet<Food>>: For each cuisine, maintain a set of food objects sorted by rating (descending) and then name (ascending).
  • Lazy Deletion: If using a Priority Queue, you can't easily remove old ratings. Instead, keep the old ratings and ignore them when they don't match the current rating in the primary Hash Map.

4. Example explanation

  1. init: Foods: [pizza (IT, 8), sushi (JP, 10), pasta (IT, 8)].
  2. changeRating("pizza", 11):
    • Lookup pizza's cuisine: IT.
    • In the IT set, remove (8, pizza) and add (11, pizza).
  3. highestRated("IT"):
    • The set for IT contains (11, pizza) and (8, pasta).
    • Returns "pizza".

5. Common mistakes candidates make

  • Linear Search: Searching through an array to find the max rating (O(N)O(N)), which makes the system too slow for large datasets.
  • Tie-breaking errors: Forgetting to sort alphabetically when ratings are equal.
  • Stale Data: Failing to update the sorted structure when a rating changes, or forgetting to check if the data at the top of a priority queue is current.

6. Interview preparation tip

Master the use of TreeSets (Java) or SortedSets (C++). These are often the "secret weapon" for design problems that require both O(logN)O(\log N) updates and O(1)O(1) or O(logN)O(\log N) retrieval of maximums.

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