Design a system to suggest up to three product names from an array of strings based on a given searchWord. After each character is typed in searchWord, return a list of suggestions that share a common prefix with it. If more than three products match, return the three lexicographically smallest options. Provide the output as a list of lists corresponding to each character typed in searchWord

Design a system to suggest up to three product names from an array of strings based on a given searchWord. After each character is typed in searchWord, return a list of suggestions that share a common prefix with it. If more than three products match, return the three lexicographically smallest options. Provide the output as a list of lists corresponding to each character typed in searchWord

Design a system to suggest up to three product names from an array of strings based on a given searchWord. After each character is typed in searchWord, return a list of suggestions that share a common prefix with it. If more than three products match, return the three lexicographically smallest options. Provide the output as a list of lists corresponding to each character typed in searchWord

Approach

  1. Understanding Input and Output: Identify the input as an array of product names and a search word. The goal is to find names that match the prefix of the search word at each character input.

  2. Building Suggestions: For each character typed, filter the product names based on the current prefix formed by the search word.

  3. Sorting and Limiting Results: Sort the filtered results lexicographically and limit the output to three suggestions.

Key Points

  • Prefix Matching: Ensure the suggestions start with the characters typed in the search word.

  • Lexicographical Order: Always sort the results to return the smallest names first.

  • Dynamic Response: Provide an updated list of suggestions at each character input.

Standard Response

def suggestedProducts(products, searchWord):
 products.sort() # Sort products lexicographically
 result = []
 prefix = ""
 
 for char in searchWord:
 prefix += char # Update prefix with the new character
 # Filter products that start with the current prefix
 suggestions = [product for product in products if product.startswith(prefix)]
 # Add the top three suggestions to the result
 result.append(suggestions[:3])
 
 return result

Tips & Variations

  • Common Mistakes to Avoid:

  • Failing to sort the product list initially can result in incorrect suggestions.

  • Not updating the prefix correctly with each character input will lead to inaccurate matches.

  • Alternative Ways to Answer:

  • Use a Trie data structure for more efficient prefix searching if handling a large dataset.

  • Role-Specific Variations:

  • Technical Roles: Emphasize the efficiency of your algorithm, perhaps discussing time complexity.

  • Creative Roles: Focus on the user experience and how intuitive the search feature is.

Follow-Up Questions

  • How would you modify your solution if the product list is extremely large?

  • Can you explain how you would implement this using a Trie?

  • What edge cases did you consider while developing your solution?

Question Details

Difficulty
Medium
Medium
Type
Coding
Coding
Companies
Meta
Tesla
Intel
Meta
Tesla
Intel
Tags
Algorithm Design
Data Structures
Problem-Solving
Algorithm Design
Data Structures
Problem-Solving
Roles
Software Engineer
Product Manager
Data Analyst
Software Engineer
Product Manager
Data Analyst

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