Search⌘ K
AI Features

Solution: Search Suggestions System

Explore how to design a search suggestions system by building and querying a trie data structure. This lesson helps you understand the tradeoffs between naive and optimized approaches, and guides you through sorting, inserting in a trie, and prefix searching to efficiently suggest up to three matching products as each character is typed.

Statement

Given an array of strings called products and a word to search, design a system that, when each character of the searched word is typed, suggests at most three product names from products. Suggested products should share a common prefix with the searched word. If more than three products exist with a common prefix, return the three product names that appear first in lexicographical order.

Return the suggested products, which will be a list of lists after each character of searched word is typed.

Constraints:

  • 11 \leq products.length 1000\leq 1000
  • 11 \leq products[i].length 3000\leq 3000
  • 11 \leq sum(products[i].length) 2×103\leq 2 \times 10^3
...