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View All on GitHubImplementation of a recommendation system to improve marketing and help employees offer personalized services to customers.
Implementation of a recommendation system to improve marketing and help employees offer personalized services to customers.
AI Summary: Break down the remaining tasks for the recommendation system project into smaller, more manageable sub-tasks, each focused on a specific problem or feature. These sub-tasks will then be assigned to separate development branches for parallel development and better version control.
Implementation of a recommendation system to improve marketing and help employees offer personalized services to customers.
AI Summary: Break down the existing tasks within the recommendation system project into smaller, more manageable sub-tasks. Each sub-task should be assigned its own issue/ticket number and developed on a separate branch.
Implementation of a recommendation system to improve marketing and help employees offer personalized services to customers.
AI Summary: Implement a new REST API endpoint for retrieving recommendations based on newly developed SQL logic. This involves setting up database connections (PostgreSQL and H2), creating necessary tables, writing three SQL queries for recommendation rules, and implementing the corresponding service and controller layers within a well-structured project.
Implementation of a recommendation system to improve marketing and help employees offer personalized services to customers.