Steps to implement PHP mall store credit score star display
Jul 01, 2023 am 08:49 AMSteps to implement the store credit rating star display function in PHP Developer City
With the rapid development of e-commerce, more and more people choose to shop online. In the process of online shopping, consumers are most concerned about the credibility and reputation of merchants. In order to allow consumers to better choose reputable merchants, many malls have introduced store credit evaluation functions. One of the most common forms is to use star rating to display ratings. This article will introduce the steps to implement the store credit rating star display function in a mall developed in PHP.
Step 1: Database design and creation
First, we need to design a database to store store and evaluation-related information. Two tables need to be created in the database. One is the store information table, which stores the basic information of the store, such as store name, store owner name, contact information, etc. The other table is a store evaluation table, which is used to store consumer evaluation information about the store, including fields such as store ID, evaluator name, evaluation time, evaluation content, and evaluation score.
Step 2: Page design and layout
In PHP development, we need to design corresponding pages to display the basic information and evaluation scores of the store. Usually, we can embed a star rating module on the store homepage. In this module, the average rating of the store will be displayed, and the rating level will be displayed in the form of stars. At the same time, we can also display the specific rating details and evaluation content from consumers on the store details page.
Step 3: Calculate ratings and display
When consumers evaluate a store, we need to store the rating data into the database and perform corresponding calculations. Before storing in the database, we need to verify whether the score is legal and perform data filtering and formatting to prevent possible malicious attacks and incorrect data entry. When calculating the average rating, you can get the average rating by looping through the rating fields in the store review table, summing them, and dividing them by the total number of reviews. At the same time, we can also give different colors to the stars in the rating display module according to the numerical range of the rating, so that consumers can intuitively understand the credibility level of the store.
Step 4: Display and management of evaluation content
The display of evaluation content can be performed on the store details page for the convenience of consumers to view and refer to. When displaying the evaluation content, we can sort it according to the evaluation time and display it in pages to prevent too much evaluation content from affecting the page loading speed. At the same time, in the display of evaluation content, we can also add some keyword filtering and sensitive word blocking functions to exclude inappropriate evaluation content.
Step 5: Management of store credit evaluation
As the administrator of the mall, we need to manage and maintain the store credit evaluation. We can add a management page to view, review, modify and delete store reviews. During the review, we can review the evaluation content to prevent the spread of false information. When modifying and deleting, we need to add corresponding verification mechanisms to ensure the legality of the operation.
To sum up, the steps to implement the store credit evaluation star display function in a PHP-developed mall mainly include: database design and creation, page design and layout, calculation of scores and display, display and evaluation content Management and store credit evaluation management. Through the implementation of these steps, we can provide consumers with reliable store credit evaluation information, help them better choose honest merchants, and also enhance the credibility and competitiveness of the mall.
The above is the detailed content of Steps to implement PHP mall store credit score star display. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

User voice input is captured and sent to the PHP backend through the MediaRecorder API of the front-end JavaScript; 2. PHP saves the audio as a temporary file and calls STTAPI (such as Google or Baidu voice recognition) to convert it into text; 3. PHP sends the text to an AI service (such as OpenAIGPT) to obtain intelligent reply; 4. PHP then calls TTSAPI (such as Baidu or Google voice synthesis) to convert the reply to a voice file; 5. PHP streams the voice file back to the front-end to play, completing interaction. The entire process is dominated by PHP to ensure seamless connection between all links.

The core method of building social sharing functions in PHP is to dynamically generate sharing links that meet the requirements of each platform. 1. First get the current page or specified URL and article information; 2. Use urlencode to encode the parameters; 3. Splice and generate sharing links according to the protocols of each platform; 4. Display links on the front end for users to click and share; 5. Dynamically generate OG tags on the page to optimize sharing content display; 6. Be sure to escape user input to prevent XSS attacks. This method does not require complex authentication, has low maintenance costs, and is suitable for most content sharing needs.

To realize text error correction and syntax optimization with AI, you need to follow the following steps: 1. Select a suitable AI model or API, such as Baidu, Tencent API or open source NLP library; 2. Call the API through PHP's curl or Guzzle and process the return results; 3. Display error correction information in the application and allow users to choose whether to adopt it; 4. Use php-l and PHP_CodeSniffer for syntax detection and code optimization; 5. Continuously collect feedback and update the model or rules to improve the effect. When choosing AIAPI, focus on evaluating accuracy, response speed, price and support for PHP. Code optimization should follow PSR specifications, use cache reasonably, avoid circular queries, review code regularly, and use X

1. Maximizing the commercial value of the comment system requires combining native advertising precise delivery, user paid value-added services (such as uploading pictures, top-up comments), influence incentive mechanism based on comment quality, and compliance anonymous data insight monetization; 2. The audit strategy should adopt a combination of pre-audit dynamic keyword filtering and user reporting mechanisms, supplemented by comment quality rating to achieve content hierarchical exposure; 3. Anti-brushing requires the construction of multi-layer defense: reCAPTCHAv3 sensorless verification, Honeypot honeypot field recognition robot, IP and timestamp frequency limit prevents watering, and content pattern recognition marks suspicious comments, and continuously iterate to deal with attacks.

PHP does not directly perform AI image processing, but integrates through APIs, because it is good at web development rather than computing-intensive tasks. API integration can achieve professional division of labor, reduce costs, and improve efficiency; 2. Integrating key technologies include using Guzzle or cURL to send HTTP requests, JSON data encoding and decoding, API key security authentication, asynchronous queue processing time-consuming tasks, robust error handling and retry mechanism, image storage and display; 3. Common challenges include API cost out of control, uncontrollable generation results, poor user experience, security risks and difficult data management. The response strategies are setting user quotas and caches, providing propt guidance and multi-picture selection, asynchronous notifications and progress prompts, key environment variable storage and content audit, and cloud storage.

PHP ensures inventory deduction atomicity through database transactions and FORUPDATE row locks to prevent high concurrent overselling; 2. Multi-platform inventory consistency depends on centralized management and event-driven synchronization, combining API/Webhook notifications and message queues to ensure reliable data transmission; 3. The alarm mechanism should set low inventory, zero/negative inventory, unsalable sales, replenishment cycles and abnormal fluctuations strategies in different scenarios, and select DingTalk, SMS or Email Responsible Persons according to the urgency, and the alarm information must be complete and clear to achieve business adaptation and rapid response.

PHPisstillrelevantinmodernenterpriseenvironments.1.ModernPHP(7.xand8.x)offersperformancegains,stricttyping,JITcompilation,andmodernsyntax,makingitsuitableforlarge-scaleapplications.2.PHPintegrateseffectivelyinhybridarchitectures,servingasanAPIgateway

Select the appropriate AI voice recognition service and integrate PHPSDK; 2. Use PHP to call ffmpeg to convert recordings into API-required formats (such as wav); 3. Upload files to cloud storage and call API asynchronous recognition; 4. Analyze JSON results and organize text using NLP technology; 5. Generate Word or Markdown documents to complete the automation of meeting records. The entire process needs to ensure data encryption, access control and compliance to ensure privacy and security.
