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Method to use PHP and Qiniu cloud storage interface to achieve special effects of pictures and personalized recommendations

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Release: 2023-07-05 13:14:01
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Using PHP and Qiniu cloud storage interface to achieve special effects and personalized recommendations for pictures

With the continuous development of Internet technology, pictures have become indispensable in social media, e-commerce and other fields a part of. In order to make pictures more attractive and give users a better experience, we can use PHP and Qiniu Cloud Storage interface to achieve special effects and personalized recommendations for pictures.

First, we need to prepare the development environment. Make sure you have installed PHP and have a Qiniu Cloud Storage account.

Next, we need to introduce the SDK of Qiniu Cloud Storage. Qiniu Cloud Storage SDK can be easily installed through Composer. Create a new composer.json file in the project root directory with the following content:

{
    "require": {
        "qiniu/php-sdk": "~7.2"
    }
}
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After saving the file, run the composer install command to install the SDK.

Then, we need to introduce the Qiniu Cloud Storage SDK into the code. Where you need to use Qiniu Cloud Storage, add the following code:

use QiniuAuth;
use QiniuStorageUploadManager;
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Next, we need to configure the relevant information of Qiniu Cloud Storage. Add the following code to the code:

// 七牛云存储的Access Key和Secret Key
$accessKey = 'your-access-key';
$secretKey = 'your-secret-key';

// 创建Auth对象
$auth = new Auth($accessKey, $secretKey);

// 七牛云存储的空间名称
$bucket = 'your-bucket';

// 七牛云存储的域名
$domain = 'your-domain';
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In the above code, $accessKey and $secretKey are the Access Key and Secret Key you obtained from Qiniu Cloud Storage . $bucket is the name of the space you created on Qiniu Cloud Storage, and $domain is your domain name.

Special effects of images can be achieved through the image processing interface of Qiniu Cloud Storage. The following is a sample code for Gaussian blur processing of images:

// 待处理的图片URL
$imageUrl = 'your-image-url';

// 图片处理参数,高斯模糊处理
$blurParam = 'imageMogr2/blur/10x10';

// 生成带有图片处理参数的新URL
$newUrl = $auth->privateDownloadUrl($domain.'/'.$imageUrl.'?'.$blurParam);

// 输出新URL
echo $newUrl;
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In the above code, $imageUrl is the image URL to be processed, and $blurParam is the image Processing parameters can be set to different effects according to the format defined in the Qiniu Cloud Storage document. Through the $auth->privateDownloadUrl() method, a new URL with image processing parameters can be generated and then output.

Personalized recommendation is to recommend relevant pictures to users based on their interests and behaviors. In practical applications, we can obtain the user's interest tags by analyzing the user's search keywords, browsing history, likes and other behaviors, and then recommend pictures to the user based on these tags.

The following is a sample code that recommends pictures to users based on user interest tags:

// 用户的兴趣标签
$userTags = ['tag1', 'tag2', 'tag3'];

// 构造个性化推荐参数
$recommendParam = 'imageMogr2/tag/'.$userTags;

// 生成带有个性化推荐参数的新URL
$newUrl = $auth->privateDownloadUrl($domain.'/'.$imageUrl.'?'.$recommendParam);

// 输出新URL
echo $newUrl;
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In the above code, $userTags is the user's interest tags, which can be based on the user's interest tags. Behavioral data is obtained dynamically. $recommendParam is a personalized recommendation parameter. Personalized recommendation is achieved by using the user's interest tags as part of the image processing parameters.

Through the above method, we can use PHP and Qiniu cloud storage interface to achieve special effects and personalized recommendations for pictures. These technologies can bring users a better image browsing experience and improve user engagement and retention rates. At the same time, these technologies can also provide developers with more possibilities for creative and personalized services.

The above is the detailed content of Method to use PHP and Qiniu cloud storage interface to achieve special effects of pictures and personalized recommendations. For more information, please follow other related articles on the PHP Chinese website!

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