search
HomeBackend DevelopmentPHP TutorialHow to use PHP to implement the popular product recommendation function of the mall

With the rapid development of e-commerce, more companies are beginning to choose to conduct business online. For a shopping mall website, the product recommendation function is very important because it can help companies promote sales and improve customer satisfaction. In this article, we will introduce how to use PHP to implement the popular product recommendation function of the mall.

1. Collect data

To implement the popular product recommendation function, we need to collect some data on the website. The focus is to collect information such as purchase volume, number of visits, product classification, etc. The purchase volume can be obtained through the order database, the visit volume can be obtained through logs, and the product classification can be obtained through the classification data table. We need to summarize this data in a table to facilitate analysis of the recommendation algorithm.

2. Select the recommendation algorithm

The recommendation algorithm is the key to realizing the popular product recommendation function. The algorithm based on collaborative filtering is a commonly used recommendation algorithm. It can predict the products that the user may purchase by analyzing the user's historical shopping behavior. At the same time, we can also combine product attributes, product evaluation and other factors to achieve more accurate recommendation functions.

3. Write the recommendation algorithm code

After selecting the recommendation algorithm, we need to use PHP to write the code for the recommendation algorithm. Specifically, we need to write a function that inputs the product ID and outputs a list of recommended products. The implementation process of this function is not complicated, and its main process is as follows:

  1. Get user information. We need to obtain the ID of the logged-in user through session or cookie to facilitate calculation of the recommendation algorithm.
  2. Query product information. Query the attributes and category information of the product based on the product ID.
  3. Calculate user interest. Calculate the user's interest value in the product based on the user's historical shopping records and product attribute information.
  4. Find neighbors. By calculating the similarity between users, we find several users that are most similar to the current user.
  5. Recommended products. Based on the historical shopping records of neighbor users, the recommendation degree of the current product is calculated and sorted from high to low according to the recommendation degree.

4. Optimizing the recommendation algorithm

After completing the basic implementation of the recommendation algorithm, we need to consider some optimization strategies to improve the accuracy and efficiency of the recommendation algorithm. Specifically, we can consider the following aspects:

  1. Add new products. There is no historical purchase data for new products. How to implement the recommendation function? You can use the popular ranking method, that is, to rank new products based on their visits and use them as one of the recommended products.
  2. Consider product attributes. Product attributes have a great impact on recommendation algorithms. Keywords can be extracted from user reviews and matched based on product attributes to improve recommendation accuracy.
  3. Using image recognition. For some products with special appearance or logo, image recognition technology can be used to identify the products and make recommendations.
  4. Use caching technology. The recommendation algorithm requires a large amount of calculation, and caching methods such as redis can be used to cache the calculated results to improve efficiency.

5. Summary

Implementing the popular product recommendation function can not only increase the sales of the mall, but also improve the customer’s purchasing experience and satisfaction, which is conducive to the long-term development of the mall website. . During the implementation process, we need to pay attention to data collection and analysis, select suitable recommendation algorithms, and optimize strategies to improve accuracy and efficiency.

The above is the detailed content of How to use PHP to implement the popular product recommendation function of the mall. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
The Continued Use of PHP: Reasons for Its EnduranceThe Continued Use of PHP: Reasons for Its EnduranceApr 19, 2025 am 12:23 AM

What’s still popular is the ease of use, flexibility and a strong ecosystem. 1) Ease of use and simple syntax make it the first choice for beginners. 2) Closely integrated with web development, excellent interaction with HTTP requests and database. 3) The huge ecosystem provides a wealth of tools and libraries. 4) Active community and open source nature adapts them to new needs and technology trends.

PHP and Python: Exploring Their Similarities and DifferencesPHP and Python: Exploring Their Similarities and DifferencesApr 19, 2025 am 12:21 AM

PHP and Python are both high-level programming languages ​​that are widely used in web development, data processing and automation tasks. 1.PHP is often used to build dynamic websites and content management systems, while Python is often used to build web frameworks and data science. 2.PHP uses echo to output content, Python uses print. 3. Both support object-oriented programming, but the syntax and keywords are different. 4. PHP supports weak type conversion, while Python is more stringent. 5. PHP performance optimization includes using OPcache and asynchronous programming, while Python uses cProfile and asynchronous programming.

PHP and Python: Different Paradigms ExplainedPHP and Python: Different Paradigms ExplainedApr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP and Python: A Deep Dive into Their HistoryPHP and Python: A Deep Dive into Their HistoryApr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

Choosing Between PHP and Python: A GuideChoosing Between PHP and Python: A GuideApr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP and Frameworks: Modernizing the LanguagePHP and Frameworks: Modernizing the LanguageApr 18, 2025 am 12:14 AM

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHP's Impact: Web Development and BeyondPHP's Impact: Web Development and BeyondApr 18, 2025 am 12:10 AM

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

How does PHP type hinting work, including scalar types, return types, union types, and nullable types?How does PHP type hinting work, including scalar types, return types, union types, and nullable types?Apr 17, 2025 am 12:25 AM

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values ​​and handle functions that may return null values.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

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

Hot Tools

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools