作者：禪與計(jì)算機(jī)程序設(shè)計(jì)藝術(shù)
1.簡介
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.文章來源：http://www.zghlxwxcb.cn/news/detail-738888.html
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文章來源地址http://www.zghlxwxcb.cn/news/detail-738888.html
到了這里，關(guān)于An Architecture for Scalable Conversational Recommendat的文章就介紹完了。如果您還想了解更多內(nèi)容，請(qǐng)?jiān)谟疑辖撬阉鱐OY模板網(wǎng)以前的文章或繼續(xù)瀏覽下面的相關(guān)文章，希望大家以后多多支持TOY模板網(wǎng)！
