Solution: Search Suggestions System
Explore how to build an efficient search suggestions system using a trie data structure. Learn to sort product data, construct a trie for prefix matching, and retrieve up to three suggestion results for each prefix substring of a searched word. Understand time and space complexity tradeoffs to optimize search performance.
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:
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products.length -
products[i].length