实时计算 Flink版推荐系统的相关内容

文章 2022-04-26 来自：开发者社区

【王喆-推荐系统】前沿篇-(task3)流处理平台Flink：实时推荐

栗子：2020年双十一，阿里基于 Flink，实现了数据的批流一体处理，每秒能够处理 40 亿条的巨量数据。这也是业界首次在这么大规模的数据洪峰之上，实现数据流的实时处理。实时数据流处理功能的实现，让阿里的推荐系统引擎能够在双 11 期间做出更快速的反应，实时抓住用户的兴趣，给出更准确...

问答 2021-11-05 来自：开发者社区

Flink AI Flow 是如何把实时推荐系统里面复杂的工作流，用一个完整的工作流描述出来？

问答 2021-11-05 来自：开发者社区

基于 Apache Flink + Hologres 的实时推荐系统关键技术有哪些？

问答 2021-11-05 来自：开发者社区

实时计算Flink +Hologres 实时推荐系统的原理是怎样的？

文章 2021-10-27 来自：开发者社区

5 年迭代 5 次，抖音基于 Flink 的推荐系统演进历程

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文章 2020-11-10 来自：开发者社区

Flink + 强化学习搭建实时推荐系统

如今的推荐系统，对于实时性的要求越来越高，实时推荐的流程大致可以概括为：推荐系统对于用户的请求产生推荐，用户对推荐结果作出反馈 (购买/点击/离开等等)，推荐系统再根据用户反馈作出新的推荐。这个过程中有两个值得关注的地方：这可被视为是一个推荐系统和用户不断交互、互相影响的过程。推荐系统需要对用户反馈作出快速及时的...

文章 2019-02-26 来自：开发者社区

基于实时计算（Flink）打造一个简单的实时推荐系统

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实时计算Flink版

阿里云实时计算Flink版(Alibaba Cloud Realtime Compute)，完全兼容开源的Apache Flink，比开源性能提升2～3倍，提供了完整的告警、监控、日志的解决方案、提升开发效率且无运维成本，并有社区专家提供技术支持。

立即开通

产品控制台

产品文档

实时同步

MySQL 到 Hologres

Kafka 到 Hologres

功能对比

开源Flink对比

成本优化

作业自动调优