作者：禅与计算机程序设计艺术
1.简介
Conversational recommendation engine is a type of recommender system that allows users to interact with the system through natural language conversations instead of traditional forms such as buttons or menus. The goal of conversational recommendation systems is to provide personalized recommendations based on user preferences and previous interactions. There are many approaches in designing conversation-based recommendation engines. However, there have been limited works focusing on the scalability of these recommendation systems.
To address this issue, we propose an architecture for scalable conversational recommendation engines based on microservices. Our approach uses message passing techniques to decouple services and achieve horizontal scaling, which can easily handle millions of requests per second while keeping latency low. We also leverage Docker containers to deploy our services, making it easier to manage and s