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leetcode-cn/originData/find-product-recommendation-pairs.json

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+{
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+        "question": {
+            "questionId": "3865",
+            "questionFrontendId": "3521",
+            "categoryTitle": "Database",
+            "boundTopicId": 3653631,
+            "title": "Find Product Recommendation Pairs",
+            "titleSlug": "find-product-recommendation-pairs",
+            "content": "<p>Table: <code>ProductPurchases</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type | \n+-------------+------+\n| user_id     | int  |\n| product_id  | int  |\n| quantity    | int  |\n+-------------+------+\n(user_id, product_id) is the unique key for this table.\nEach row represents a purchase of a product by a user in a specific quantity.\n</pre>\n\n<p>Table: <code>ProductInfo</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    | \n+-------------+---------+\n| product_id  | int     |\n| category    | varchar |\n| price       | decimal |\n+-------------+---------+\nproduct_id is the primary key for this table.\nEach row assigns a category and price to a product.\n</pre>\n\n<p>Amazon wants to implement the <strong>Customers who bought this also bought...</strong> feature based on <strong>co-purchase patterns</strong>. Write a solution to :</p>\n\n<ol>\n\t<li>Identify <strong>distinct</strong> product pairs frequently <strong>purchased together by the same customers</strong> (where <code>product1_id</code> &lt; <code>product2_id</code>)</li>\n\t<li>For <strong>each product pair</strong>, determine how many customers purchased <strong>both</strong> products</li>\n</ol>\n\n<p><strong>A product pair </strong>is considered for recommendation <strong>if</strong> <strong>at least</strong> <code>3</code> <strong>different</strong> customers have purchased <strong>both products</strong>.</p>\n\n<p>Return <em>the </em><em>result table ordered by <strong>customer_count</strong> in <strong>descending</strong> order, and in case of a tie, by </em><code>product1_id</code><em> in <strong>ascending</strong> order, and then by </em><code>product2_id</code><em> in <strong>ascending</strong> order</em>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example:</strong></p>\n\n<div class=\"example-block\">\n<p><strong>Input:</strong></p>\n\n<p>ProductPurchases table:</p>\n\n<pre class=\"example-io\">\n+---------+------------+----------+\n| user_id | product_id | quantity |\n+---------+------------+----------+\n| 1       | 101        | 2        |\n| 1       | 102        | 1        |\n| 1       | 103        | 3        |\n| 2       | 101        | 1        |\n| 2       | 102        | 5        |\n| 2       | 104        | 1        |\n| 3       | 101        | 2        |\n| 3       | 103        | 1        |\n| 3       | 105        | 4        |\n| 4       | 101        | 1        |\n| 4       | 102        | 1        |\n| 4       | 103        | 2        |\n| 4       | 104        | 3        |\n| 5       | 102        | 2        |\n| 5       | 104        | 1        |\n+---------+------------+----------+\n</pre>\n\n<p>ProductInfo table:</p>\n\n<pre class=\"example-io\">\n+------------+-------------+-------+\n| product_id | category    | price |\n+------------+-------------+-------+\n| 101        | Electronics | 100   |\n| 102        | Books       | 20    |\n| 103        | Clothing    | 35    |\n| 104        | Kitchen     | 50    |\n| 105        | Sports      | 75    |\n+------------+-------------+-------+\n</pre>\n\n<p><strong>Output:</strong></p>\n\n<pre class=\"example-io\">\n+-------------+-------------+-------------------+-------------------+----------------+\n| product1_id | product2_id | product1_category | product2_category | customer_count |\n+-------------+-------------+-------------------+-------------------+----------------+\n| 101         | 102         | Electronics       | Books             | 3              |\n| 101         | 103         | Electronics       | Clothing          | 3              |\n| 102         | 104         | Books             | Kitchen           | 3              |\n+-------------+-------------+-------------------+-------------------+----------------+\n</pre>\n\n<p><strong>Explanation:</strong></p>\n\n<ul>\n\t<li><strong>Product pair (101, 102):</strong>\n\n\t<ul>\n\t\t<li>Purchased by users 1, 2, and 4 (3 customers)</li>\n\t\t<li>Product 101 is in Electronics category</li>\n\t\t<li>Product 102 is in Books category</li>\n\t</ul>\n\t</li>\n\t<li><strong>Product pair (101, 103):</strong>\n\t<ul>\n\t\t<li>Purchased by users 1, 3, and 4 (3 customers)</li>\n\t\t<li>Product 101 is in Electronics category</li>\n\t\t<li>Product 103 is in Clothing category</li>\n\t</ul>\n\t</li>\n\t<li><strong>Product pair (102, 104):</strong>\n\t<ul>\n\t\t<li>Purchased by users 2, 4, and 5 (3 customers)</li>\n\t\t<li>Product 102 is in Books category</li>\n\t\t<li>Product 104 is in Kitchen category</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>The result is ordered by customer_count in descending order. For pairs with the same customer_count, they are ordered by product1_id and then product2_id in ascending order.</p>\n</div>\n",
+            "translatedTitle": "查找推荐产品对",
+            "translatedContent": "<p>表：<code>ProductPurchases</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type | \n+-------------+------+\n| user_id     | int  |\n| product_id  | int  |\n| quantity    | int  |\n+-------------+------+\n(user_id, product_id) 是这张表的唯一主键。\n每一行代表用户以特定数量购买的产品。\n</pre>\n\n<p>表：<code>ProductInfo</code></p>\n\n<pre>\n+-------------+---------+\n| Column Name | Type    | \n+-------------+---------+\n| product_id  | int     |\n| category    | varchar |\n| price       | decimal |\n+-------------+---------+\nproduct_id 是这张表的唯一主键。\n每一行表示一个产品的类别和价格。\n</pre>\n\n<p>亚马逊希望根据 <strong>共同购买模式</strong> 实现 “<strong>购买此商品的用户还购买了...</strong>” 功能。编写一个解决方案以实现：</p>\n\n<ol>\n\t<li>识别 <strong>被同一客户一起频繁购买的</strong> <strong>不同</strong> 产品对（其中&nbsp;<code>product1_id</code> &lt; <code>product2_id</code>）</li>\n\t<li>对于 <strong>每个产品对</strong>，确定有多少客户购买了这两种产品</li>\n</ol>\n\n<p>如果 <strong>至少有</strong> <code>3</code> <strong>位不同的</strong> 客户同时购买了这两种产品，则认为该&nbsp;<strong>产品对&nbsp;</strong>适合推荐。</p>\n\n<p>返回结果表以<em>&nbsp;</em><strong>customer_count</strong>&nbsp; <strong>降序&nbsp;</strong>排序，并且为了避免排序持平，以&nbsp;<code>product1_id</code><em> </em><strong>升序&nbsp;</strong>排序，并以<em>&nbsp;</em><code>product2_id</code><em> </em><strong>升序 </strong>排序。</p>\n\n<p>结果格式如下所示。</p>\n\n<p>&nbsp;</p>\n\n<p><strong class=\"example\">示例：</strong></p>\n\n<div class=\"example-block\">\n<p><strong>输入：</strong></p>\n\n<p>ProductPurchases 表：</p>\n\n<pre class=\"example-io\">\n+---------+------------+----------+\n| user_id | product_id | quantity |\n+---------+------------+----------+\n| 1       | 101        | 2        |\n| 1       | 102        | 1        |\n| 1       | 103        | 3        |\n| 2       | 101        | 1        |\n| 2       | 102        | 5        |\n| 2       | 104        | 1        |\n| 3       | 101        | 2        |\n| 3       | 103        | 1        |\n| 3       | 105        | 4        |\n| 4       | 101        | 1        |\n| 4       | 102        | 1        |\n| 4       | 103        | 2        |\n| 4       | 104        | 3        |\n| 5       | 102        | 2        |\n| 5       | 104        | 1        |\n+---------+------------+----------+\n</pre>\n\n<p>ProductInfo 表：</p>\n\n<pre class=\"example-io\">\n+------------+-------------+-------+\n| product_id | category    | price |\n+------------+-------------+-------+\n| 101        | Electronics | 100   |\n| 102        | Books       | 20    |\n| 103        | Clothing    | 35    |\n| 104        | Kitchen     | 50    |\n| 105        | Sports      | 75    |\n+------------+-------------+-------+\n</pre>\n\n<p><strong>输出：</strong></p>\n\n<pre class=\"example-io\">\n+-------------+-------------+-------------------+-------------------+----------------+\n| product1_id | product2_id | product1_category | product2_category | customer_count |\n+-------------+-------------+-------------------+-------------------+----------------+\n| 101         | 102         | Electronics       | Books             | 3              |\n| 101         | 103         | Electronics       | Clothing          | 3              |\n| 102         | 104         | Books             | Kitchen           | 3              |\n+-------------+-------------+-------------------+-------------------+----------------+\n</pre>\n\n<p><strong>解释：</strong></p>\n\n<ul>\n\t<li><strong>产品对 (101, 102)：</strong>\n\n\t<ul>\n\t\t<li>被用户 1，2 和 4 购买（3 个消费者）</li>\n\t\t<li>产品 101 属于电子商品类别</li>\n\t\t<li>产品 102 属于图书类别</li>\n\t</ul>\n\t</li>\n\t<li><strong>产品对 (101, 103)：</strong>\n\t<ul>\n\t\t<li>被用户 1，3 和 4 购买（3 个消费者）</li>\n\t\t<li>产品 101 属于电子商品类别</li>\n\t\t<li>产品 103 属于服装类别</li>\n\t</ul>\n\t</li>\n\t<li><strong>产品对 (102, 104)：</strong>\n\t<ul>\n\t\t<li>被用户 2，4 和 5 购买（3 个消费者）</li>\n\t\t<li>产品 102 属于图书类别</li>\n\t\t<li>产品 104 属于厨房用品类别</li>\n\t</ul>\n\t</li>\n</ul>\n\n<p>结果以 customer_count 降序排序。对于有相同&nbsp;customer_count 的产品对，将它们以&nbsp;product1_id 升序排序，然后以 product2_id 升序排序。</p>\n</div>\n",
+            "isPaidOnly": false,
+            "difficulty": "Medium",
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+            "topicTags": [
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+                    "name": "Database",
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+                    "code": "import pandas as pd\n\ndef find_product_recommendation_pairs(product_purchases: pd.DataFrame, product_info: pd.DataFrame) -> pd.DataFrame:\n    ",
+                    "__typename": "CodeSnippetNode"
+                },
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+            "solution": null,
+            "status": null,
+            "sampleTestCase": "{\"headers\":{\"ProductPurchases\":[\"user_id\",\"product_id\",\"quantity\"],\"ProductInfo\":[\"product_id\",\"category\",\"price\"]},\"rows\":{\"ProductPurchases\":[[1,101,2],[1,102,1],[1,103,3],[2,101,1],[2,102,5],[2,104,1],[3,101,2],[3,103,1],[3,105,4],[4,101,1],[4,102,1],[4,103,2],[4,104,3],[5,102,2],[5,104,1]],\"ProductInfo\":[[101,\"Electronics\",100],[102,\"Books\",20],[103,\"Clothing\",35],[104,\"Kitchen\",50],[105,\"Sports\",75]]}}",
+            "metaData": "{\"mysql\":[\"CREATE TABLE if not exists ProductPurchases (\\n    user_id INT,\\n    product_id INT,\\n    quantity INT\\n)\",\"CREATE TABLE  if not exists ProductInfo (\\n    product_id INT,\\n    category VARCHAR(100),\\n    price DECIMAL(10, 2)\\n)\"],\"mssql\":[\"CREATE TABLE ProductPurchases (\\n    user_id INT,\\n    product_id INT,\\n    quantity INT\\n)\",\"CREATE TABLE ProductInfo (\\n    product_id INT,\\n    category VARCHAR(100),\\n    price DECIMAL(10, 2)\\n)\"],\"oraclesql\":[\"CREATE TABLE ProductPurchases (\\n    user_id NUMBER,\\n    product_id NUMBER,\\n    quantity NUMBER\\n)\",\"CREATE TABLE ProductInfo (\\n    product_id NUMBER,\\n    category VARCHAR2(100),\\n    price NUMBER(10, 2)\\n)\"],\"database\":true,\"name\":\"find_product_recommendation_pairs\",\"postgresql\":[\"CREATE TABLE ProductPurchases (\\n    user_id INTEGER,\\n    product_id INTEGER,\\n    quantity INTEGER\\n);\",\"CREATE TABLE ProductInfo (\\n    product_id INTEGER,\\n    category VARCHAR(100),\\n    price NUMERIC(10, 2)\\n);\"],\"pythondata\":[\"ProductPurchases = pd.DataFrame({\\n    \\\"user_id\\\": pd.Series(dtype='int64'),\\n    \\\"product_id\\\": pd.Series(dtype='int64'),\\n    \\\"quantity\\\": pd.Series(dtype='int64')\\n})\",\"ProductInfo= pd.DataFrame({\\n    \\\"product_id\\\": pd.Series(dtype='int64'),\\n    \\\"category\\\": pd.Series(dtype='string'),\\n    \\\"price\\\": pd.Series(dtype='float64')  # Reflects NUMBER(10, 2)\\n})\"],\"database_schema\":{\"ProductPurchases\":{\"user_id\":\"INT\",\"product_id\":\"INT\",\"quantity\":\"INT\"},\"ProductInfo\":{\"product_id\":\"INT\",\"category\":\"VARCHAR(100)\",\"price\":\"DECIMAL(10, 2)\"}}}",
+            "judgerAvailable": true,
+            "judgeType": "large",
+            "mysqlSchemas": [
+                "CREATE TABLE if not exists ProductPurchases (\n    user_id INT,\n    product_id INT,\n    quantity INT\n)",
+                "CREATE TABLE  if not exists ProductInfo (\n    product_id INT,\n    category VARCHAR(100),\n    price DECIMAL(10, 2)\n)",
+                "Truncate table ProductPurchases",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('1', '101', '2')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('1', '102', '1')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('1', '103', '3')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('2', '101', '1')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('2', '102', '5')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('2', '104', '1')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('3', '101', '2')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('3', '103', '1')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('3', '105', '4')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('4', '101', '1')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('4', '102', '1')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('4', '103', '2')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('4', '104', '3')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('5', '102', '2')",
+                "insert into ProductPurchases (user_id, product_id, quantity) values ('5', '104', '1')",
+                "Truncate table ProductInfo",
+                "insert into ProductInfo (product_id, category, price) values ('101', 'Electronics', '100')",
+                "insert into ProductInfo (product_id, category, price) values ('102', 'Books', '20')",
+                "insert into ProductInfo (product_id, category, price) values ('103', 'Clothing', '35')",
+                "insert into ProductInfo (product_id, category, price) values ('104', 'Kitchen', '50')",
+                "insert into ProductInfo (product_id, category, price) values ('105', 'Sports', '75')"
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+            "exampleTestcases": "{\"headers\":{\"ProductPurchases\":[\"user_id\",\"product_id\",\"quantity\"],\"ProductInfo\":[\"product_id\",\"category\",\"price\"]},\"rows\":{\"ProductPurchases\":[[1,101,2],[1,102,1],[1,103,3],[2,101,1],[2,102,5],[2,104,1],[3,101,2],[3,103,1],[3,105,4],[4,101,1],[4,102,1],[4,103,2],[4,104,3],[5,102,2],[5,104,1]],\"ProductInfo\":[[101,\"Electronics\",100],[102,\"Books\",20],[103,\"Clothing\",35],[104,\"Kitchen\",50],[105,\"Sports\",75]]}}",
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+}