1. The first choice for the Laravel MySQL Vue/React combination in the PHP development question and answer community is the first choice for Laravel MySQL Vue/React combination, due to its maturity in the ecosystem and high development efficiency; 2. High performance requires dependence on cache (Redis), database optimization, CDN and asynchronous queues; 3. Security must be done with input filtering, CSRF protection, HTTPS, password encryption and permission control; 4. Money optional advertising, member subscription, rewards, commissions, knowledge payment and other models, the core is to match community tone and user needs.

The steps for setting MySQL semi-synchronous replication are as follows: 1. Confirm the version supports and load the plug-in; 2. Turn on and enable semi-synchronous mode; 3. Check the status and operation status; 4. Pay attention to timeout settings, multi-slave library configuration and master-slave switching processing. It is necessary to ensure that MySQL 5.5 and above versions are installed, rpl_semi_sync_master and rpl_semi_sync_slave plugins, enable corresponding parameters in the master and slave library, and configure automatic loading in my.cnf, restart the service after the settings are completed, check the status through SHOWSTATUS, reasonably adjust the timeout time and monitor the plug-in operation.

MySQL error "incorrectstringvalueforcolumn" is usually because the field character set does not support four-byte characters such as emoji. 1. Cause of error: MySQL's utf8 character set only supports three-byte characters and cannot store four-byte emoji; 2. Solution: Change the database, table, fields and connections to utf8mb4 character set; 3. Also check whether the configuration files, temporary tables, application layer encoding and client drivers all support utf8mb4; 4. Alternative solution: If you do not need to support four-byte characters, you can filter special characters such as emoji at the application layer.

To achieve MySQL deployment automation, the key is to use Terraform to define resources, Ansible management configuration, Git for version control, and strengthen security and permission management. 1. Use Terraform to define MySQL instances, such as the version, type, access control and other resource attributes of AWSRDS; 2. Use AnsiblePlaybook to realize detailed configurations such as database user creation, permission settings, etc.; 3. All configuration files are included in Git management, support change tracking and collaborative development; 4. Avoid hard-coded sensitive information, use Vault or AnsibleVault to manage passwords, and set access control and minimum permission principles.

To collect user behavior data, you need to record browsing, search, purchase and other information into the database through PHP, and clean and analyze it to explore interest preferences; 2. The selection of recommendation algorithms should be determined based on data characteristics: based on content, collaborative filtering, rules or mixed recommendations; 3. Collaborative filtering can be implemented in PHP to calculate user cosine similarity, select K nearest neighbors, weighted prediction scores and recommend high-scoring products; 4. Performance evaluation uses accuracy, recall, F1 value and CTR, conversion rate and verify the effect through A/B tests; 5. Cold start problems can be alleviated through product attributes, user registration information, popular recommendations and expert evaluations; 6. Performance optimization methods include cached recommendation results, asynchronous processing, distributed computing and SQL query optimization, thereby improving recommendation efficiency and user experience.

There are three ways to connect Excel to MySQL database: 1. Use PowerQuery: After installing the MySQLODBC driver, establish connections and import data through Excel's built-in PowerQuery function, and support timed refresh; 2. Use MySQLforExcel plug-in: The official plug-in provides a friendly interface, supports two-way synchronization and table import back to MySQL, and pay attention to version compatibility; 3. Use VBA ADO programming: suitable for advanced users, and achieve flexible connections and queries by writing macro code. Choose the appropriate method according to your needs and technical level. PowerQuery or MySQLforExcel is recommended for daily use, and VBA is better for automated processing.

When choosing a suitable PHP framework, you need to consider comprehensively according to project needs: Laravel is suitable for rapid development and provides EloquentORM and Blade template engines, which are convenient for database operation and dynamic form rendering; Symfony is more flexible and suitable for complex systems; CodeIgniter is lightweight and suitable for simple applications with high performance requirements. 2. To ensure the accuracy of AI models, we need to start with high-quality data training, reasonable selection of evaluation indicators (such as accuracy, recall, F1 value), regular performance evaluation and model tuning, and ensure code quality through unit testing and integration testing, while continuously monitoring the input data to prevent data drift. 3. Many measures are required to protect user privacy: encrypt and store sensitive data (such as AES

PHP plays the role of connector and brain center in intelligent customer service, responsible for connecting front-end input, database storage and external AI services; 2. When implementing it, it is necessary to build a multi-layer architecture: the front-end receives user messages, the PHP back-end preprocesses and routes requests, first matches the local knowledge base, and misses, call external AI services such as OpenAI or Dialogflow to obtain intelligent reply; 3. Session management is written to MySQL and other databases by PHP to ensure context continuity; 4. Integrated AI services need to use Guzzle to send HTTP requests, safely store APIKeys, and do a good job of error handling and response analysis; 5. Database design must include sessions, messages, knowledge bases, and user tables, reasonably build indexes, ensure security and performance, and support robot memory