数据处理技术在互联网推荐场景中的应用

Application of data processing technology in Internet recommendation scenario

广告推荐是互联网企业实现商业变现的主要手段。数据处理技术在推荐场景中有着广泛的应用,通过数据处理技术,可以分析可以构建用户的应用画像,应用群体的兴趣点,针对特定的场景为用户推荐恰当的内容。本文从离线批处理,分布式流计算和深度数据挖掘三个方面阐述了数据处理技术在互联网推荐场景中的应用。

Advertising recommendation is the main means for Internet enterprises to realize commercial profits.Data processing technology has a wide range of applications in recommendation scenarios.Through data processing technology,users'application portraits and interest points of application groups can be analyzed and constructed,and appropriate content can be recommended for users in specific scenarios.This paper expounds the application of data processing technology in Internet recommendation scenarios from three aspects:offline batch processing,distributed flow computing and deep data mining.