23. Top K Frequent Elements
mediumAsked at ExpediaReturn the k most frequent elements — Expedia's search-ranking pipeline uses the same frequency-heap pattern to surface the top-k destinations by booking volume without sorting the full catalog.
By Alex Chen, Founder, InterviewChamp.AI · Last verified
Problem
Given an integer array nums and an integer k, return the k most frequent elements. You may return the answer in any order.
Constraints
1 <= nums.length <= 10^5k is in the range [1, the number of unique elements in nums]It is guaranteed that the answer is unique
Examples
Example 1
nums = [1,1,1,2,2,3], k = 2[1,2]Example 2
nums = [1], k = 1[1]Approaches
1. Sort by frequency
Count frequencies with a hash map, then sort entries by frequency descending and take the first k.
- Time
- O(n log n)
- Space
- O(n)
function topKFrequent(nums, k) {
const freq = new Map();
for (const n of nums) freq.set(n, (freq.get(n) || 0) + 1);
return [...freq.entries()]
.sort((a, b) => b[1] - a[1])
.slice(0, k)
.map(e => e[0]);
}Tradeoff:
2. Bucket sort (O(n))
Frequency can range from 1 to n, so create n+1 buckets indexed by frequency. Fill buckets, then read from highest frequency down to collect k elements.
- Time
- O(n)
- Space
- O(n)
function topKFrequent(nums, k) {
const freq = new Map();
for (const n of nums) freq.set(n, (freq.get(n) || 0) + 1);
const buckets = new Array(nums.length + 1).fill(null).map(() => []);
for (const [num, count] of freq) buckets[count].push(num);
const result = [];
for (let i = buckets.length - 1; i >= 0 && result.length < k; i--) {
result.push(...buckets[i]);
}
return result.slice(0, k);
}Tradeoff:
Expedia-specific tips
Expedia search interviewers expect you to reach for the bucket sort path and articulate why O(n) beats O(n log n) here. Tie it back: 'In a destination-ranking pipeline running millions of queries per day, shaving a log factor off the hot path matters.' That framing lands well with their infra-aware interviewers.
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