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128 lines
4.4 KiB
HTML
128 lines
4.4 KiB
HTML
<p>表：<code>ProductPurchases</code></p>
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<pre>
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+-------------+------+
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| Column Name | Type |
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+-------------+------+
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| user_id | int |
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| product_id | int |
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| quantity | int |
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+-------------+------+
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(user_id, product_id) 是这张表的唯一主键。
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每一行代表用户以特定数量购买的产品。
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</pre>
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<p>表：<code>ProductInfo</code></p>
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<pre>
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+-------------+---------+
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| Column Name | Type |
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+-------------+---------+
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| product_id | int |
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| category | varchar |
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| price | decimal |
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+-------------+---------+
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product_id 是这张表的唯一主键。
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每一行表示一个产品的类别和价格。
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</pre>
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<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>
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<ol>
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<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 <code>product1_id</code> < <code>product2_id</code>）</li>
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<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>
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</ol>
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<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 <strong>产品对 </strong>适合推荐。</p>
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<p>返回结果表以<em> </em><strong>customer_count</strong> <strong>降序 </strong>排序，并且为了避免排序持平，以 <code>product1_id</code><em> </em><strong>升序 </strong>排序，并以<em> </em><code>product2_id</code><em> </em><strong>升序 </strong>排序。</p>
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<p>结果格式如下所示。</p>
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<p> </p>
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<p><strong class="example">示例：</strong></p>
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<div class="example-block">
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<p><strong>输入：</strong></p>
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<p>ProductPurchases 表：</p>
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<pre class="example-io">
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+---------+------------+----------+
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| user_id | product_id | quantity |
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+---------+------------+----------+
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| 1 | 101 | 2 |
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| 1 | 102 | 1 |
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| 1 | 103 | 3 |
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| 2 | 101 | 1 |
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| 2 | 102 | 5 |
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| 2 | 104 | 1 |
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| 3 | 101 | 2 |
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| 3 | 103 | 1 |
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| 3 | 105 | 4 |
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| 4 | 101 | 1 |
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| 4 | 102 | 1 |
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| 4 | 103 | 2 |
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| 4 | 104 | 3 |
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| 5 | 102 | 2 |
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| 5 | 104 | 1 |
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+---------+------------+----------+
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</pre>
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<p>ProductInfo 表：</p>
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<pre class="example-io">
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+------------+-------------+-------+
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| product_id | category | price |
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+------------+-------------+-------+
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| 101 | Electronics | 100 |
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| 102 | Books | 20 |
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| 103 | Clothing | 35 |
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| 104 | Kitchen | 50 |
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| 105 | Sports | 75 |
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+------------+-------------+-------+
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</pre>
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<p><strong>输出：</strong></p>
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<pre class="example-io">
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+-------------+-------------+-------------------+-------------------+----------------+
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| product1_id | product2_id | product1_category | product2_category | customer_count |
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+-------------+-------------+-------------------+-------------------+----------------+
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| 101 | 102 | Electronics | Books | 3 |
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| 101 | 103 | Electronics | Clothing | 3 |
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| 102 | 104 | Books | Kitchen | 3 |
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+-------------+-------------+-------------------+-------------------+----------------+
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</pre>
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<p><strong>解释：</strong></p>
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<ul>
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<li><strong>产品对 (101, 102)：</strong>
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<ul>
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<li>被用户 1，2 和 4 购买（3 个消费者）</li>
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<li>产品 101 属于电子商品类别</li>
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<li>产品 102 属于图书类别</li>
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</ul>
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</li>
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<li><strong>产品对 (101, 103)：</strong>
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<ul>
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<li>被用户 1，3 和 4 购买（3 个消费者）</li>
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<li>产品 101 属于电子商品类别</li>
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<li>产品 103 属于服装类别</li>
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</ul>
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</li>
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<li><strong>产品对 (102, 104)：</strong>
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<ul>
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<li>被用户 2，4 和 5 购买（3 个消费者）</li>
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<li>产品 102 属于图书类别</li>
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<li>产品 104 属于厨房用品类别</li>
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</ul>
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</li>
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</ul>
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<p>结果以 customer_count 降序排序。对于有相同 customer_count 的产品对，将它们以 product1_id 升序排序，然后以 product2_id 升序排序。</p>
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</div>
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