Implement a Trie with Autocomplete
Last updated: February 21, 2025
Quick Overview
Design and implement a Trie data structure that supports insert, search, and prefix-based autocomplete returning the top k suggestions.
Rivian
February 21, 202513
6
1,913 solved
Design and implement a Trie data structure that supports insert, search, and prefix-based autocomplete returning the top k suggestions.
Trie-based autocomplete maps directly to Rivian's infotainment search features such as destination search, media search, and settings navigation. This tests your ability to implement a non-trivial data structure with practical applications.
What the Interviewer Expects
- Implement insert and search operations correctly
- Build prefix-based autocomplete that returns all matching words
- Optimize autocomplete to return top k results by frequency
- Handle edge cases like empty prefix, no matches, and single-character words
- Write clean, well-organized code with clear class structure
Key Topics to Cover
How to Approach This
- Clarify input constraints and edge cases before writing code.
- Walk through your approach verbally and confirm with the interviewer before coding.
- Start with a brute force solution, then optimize. Mention time and space complexity.
- Test your solution with examples, including edge cases like empty input or duplicates.
- Consider common patterns: sliding window, two pointers, hash map, BFS/DFS, dynamic programming.
Possible Follow-up Questions
- How would you rank suggestions by frequency of use?
- How would you handle fuzzy matching for typos?
- What is the space complexity, and how would you compress the trie?
- How would you persist this trie for vehicle restarts?
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Practice DSA ProblemsSample Answer
Problem Analysis
In this problem, we are required to implement a Trie data structure that supports insertion of words, searching for exact matches, and providing autocomplete suggestions based on a given prefix. The T...
Approach
- Define the TrieNode class: Each node will contain a dictionary of children (representing subsequent characters) and a frequency count to track how many times words pass through this node.
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