mirror of
https://gitee.com/coder-xiaomo/leetcode-problemset
synced 2025-01-11 02:58:13 +08:00
178 lines
24 KiB
JSON
178 lines
24 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "1397",
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"questionFrontendId": "1268",
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"categoryTitle": "Algorithms",
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"boundTopicId": 45587,
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"title": "Search Suggestions System",
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"titleSlug": "search-suggestions-system",
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"content": "<p>You are given an array of strings <code>products</code> and a string <code>searchWord</code>.</p>\n\n<p>Design a system that suggests at most three product names from <code>products</code> after each character of <code>searchWord</code> is typed. Suggested products should have common prefix with <code>searchWord</code>. If there are more than three products with a common prefix return the three lexicographically minimums products.</p>\n\n<p>Return <em>a list of lists of the suggested products after each character of </em><code>searchWord</code><em> is typed</em>.</p>\n\n<p> </p>\n<p><strong>Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> products = ["mobile","mouse","moneypot","monitor","mousepad"], searchWord = "mouse"\n<strong>Output:</strong> [\n["mobile","moneypot","monitor"],\n["mobile","moneypot","monitor"],\n["mouse","mousepad"],\n["mouse","mousepad"],\n["mouse","mousepad"]\n]\n<strong>Explanation:</strong> products sorted lexicographically = ["mobile","moneypot","monitor","mouse","mousepad"]\nAfter typing m and mo all products match and we show user ["mobile","moneypot","monitor"]\nAfter typing mou, mous and mouse the system suggests ["mouse","mousepad"]\n</pre>\n\n<p><strong>Example 2:</strong></p>\n\n<pre>\n<strong>Input:</strong> products = ["havana"], searchWord = "havana"\n<strong>Output:</strong> [["havana"],["havana"],["havana"],["havana"],["havana"],["havana"]]\n</pre>\n\n<p><strong>Example 3:</strong></p>\n\n<pre>\n<strong>Input:</strong> products = ["bags","baggage","banner","box","cloths"], searchWord = "bags"\n<strong>Output:</strong> [["baggage","bags","banner"],["baggage","bags","banner"],["baggage","bags"],["bags"]]\n</pre>\n\n<p> </p>\n<p><strong>Constraints:</strong></p>\n\n<ul>\n\t<li><code>1 <= products.length <= 1000</code></li>\n\t<li><code>1 <= products[i].length <= 3000</code></li>\n\t<li><code>1 <= sum(products[i].length) <= 2 * 10<sup>4</sup></code></li>\n\t<li>All the strings of <code>products</code> are <strong>unique</strong>.</li>\n\t<li><code>products[i]</code> consists of lowercase English letters.</li>\n\t<li><code>1 <= searchWord.length <= 1000</code></li>\n\t<li><code>searchWord</code> consists of lowercase English letters.</li>\n</ul>\n",
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"translatedTitle": "搜索推荐系统",
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"translatedContent": "<p>给你一个产品数组 <code>products</code> 和一个字符串 <code>searchWord</code> ，<code>products</code> 数组中每个产品都是一个字符串。</p>\n\n<p>请你设计一个推荐系统，在依次输入单词 <code>searchWord</code> 的每一个字母后，推荐 <code>products</code> 数组中前缀与 <code>searchWord</code> 相同的最多三个产品。如果前缀相同的可推荐产品超过三个，请按字典序返回最小的三个。</p>\n\n<p>请你以二维列表的形式，返回在输入 <code>searchWord</code> 每个字母后相应的推荐产品的列表。</p>\n\n<p> </p>\n\n<p><strong>示例 1：</strong></p>\n\n<pre><strong>输入：</strong>products = ["mobile","mouse","moneypot","monitor","mousepad"], searchWord = "mouse"\n<strong>输出：</strong>[\n["mobile","moneypot","monitor"],\n["mobile","moneypot","monitor"],\n["mouse","mousepad"],\n["mouse","mousepad"],\n["mouse","mousepad"]\n]\n<strong>解释：</strong>按字典序排序后的产品列表是 ["mobile","moneypot","monitor","mouse","mousepad"]\n输入 m 和 mo，由于所有产品的前缀都相同，所以系统返回字典序最小的三个产品 ["mobile","moneypot","monitor"]\n输入 mou， mous 和 mouse 后系统都返回 ["mouse","mousepad"]\n</pre>\n\n<p><strong>示例 2：</strong></p>\n\n<pre><strong>输入：</strong>products = ["havana"], searchWord = "havana"\n<strong>输出：</strong>[["havana"],["havana"],["havana"],["havana"],["havana"],["havana"]]\n</pre>\n\n<p><strong>示例 3：</strong></p>\n\n<pre><strong>输入：</strong>products = ["bags","baggage","banner","box","cloths"], searchWord = "bags"\n<strong>输出：</strong>[["baggage","bags","banner"],["baggage","bags","banner"],["baggage","bags"],["bags"]]\n</pre>\n\n<p><strong>示例 4：</strong></p>\n\n<pre><strong>输入：</strong>products = ["havana"], searchWord = "tatiana"\n<strong>输出：</strong>[[],[],[],[],[],[],[]]\n</pre>\n\n<p> </p>\n\n<p><strong>提示：</strong></p>\n\n<ul>\n\t<li><code>1 <= products.length <= 1000</code></li>\n\t<li><code>1 <= Σ products[i].length <= 2 * 10^4</code></li>\n\t<li><code>products[i]</code> 中所有的字符都是小写英文字母。</li>\n\t<li><code>1 <= searchWord.length <= 1000</code></li>\n\t<li><code>searchWord</code> 中所有字符都是小写英文字母。</li>\n</ul>\n",
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"isPaidOnly": false,
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"difficulty": "Medium",
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"code": "class Solution {\npublic:\n vector<vector<string>> suggestedProducts(vector<string>& products, string searchWord) {\n\n }\n};",
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"code": "class Solution(object):\n def suggestedProducts(self, products, searchWord):\n \"\"\"\n :type products: List[str]\n :type searchWord: str\n :rtype: List[List[str]]\n \"\"\"",
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"code": "\n\n/**\n * Return an array of arrays of size *returnSize.\n * The sizes of the arrays are returned as *returnColumnSizes array.\n * Note: Both returned array and *columnSizes array must be malloced, assume caller calls free().\n */\nchar *** suggestedProducts(char ** products, int productsSize, char * searchWord, int* returnSize, int** returnColumnSizes){\n\n}",
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"code": "public class Solution {\n public IList<IList<string>> SuggestedProducts(string[] products, string searchWord) {\n\n }\n}",
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"code": "# @param {String[]} products\n# @param {String} search_word\n# @return {String[][]}\ndef suggested_products(products, search_word)\n\nend",
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"code": "class Solution {\n func suggestedProducts(_ products: [String], _ searchWord: String) -> [[String]] {\n\n }\n}",
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"code": "func suggestedProducts(products []string, searchWord string) [][]string {\n\n}",
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"code": "object Solution {\n def suggestedProducts(products: Array[String], searchWord: String): List[List[String]] = {\n\n }\n}",
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"code": "impl Solution {\n pub fn suggested_products(products: Vec<String>, search_word: String) -> Vec<Vec<String>> {\n\n }\n}",
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"code": "class Solution {\n\n /**\n * @param String[] $products\n * @param String $searchWord\n * @return String[][]\n */\n function suggestedProducts($products, $searchWord) {\n\n }\n}",
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"code": "function suggestedProducts(products: string[], searchWord: string): string[][] {\n\n};",
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"code": "(define/contract (suggested-products products searchWord)\n (-> (listof string?) string? (listof (listof string?)))\n\n )",
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"code": "-spec suggested_products(Products :: [unicode:unicode_binary()], SearchWord :: unicode:unicode_binary()) -> [[unicode:unicode_binary()]].\nsuggested_products(Products, SearchWord) ->\n .",
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"langSlug": "elixir",
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"code": "defmodule Solution do\n @spec suggested_products(products :: [String.t], search_word :: String.t) :: [[String.t]]\n def suggested_products(products, search_word) do\n\n end\nend",
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"hints": [
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"Brute force is a good choice because length of the string is ≤ 1000.",
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"Binary search the answer.",
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"Use Trie data structure to store the best three matching. Traverse the Trie."
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],
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"sampleTestCase": "[\"mobile\",\"mouse\",\"moneypot\",\"monitor\",\"mousepad\"]\n\"mouse\"",
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