基于Mahout的推荐系统的分析与设计

The Analysis and Design of Recommendation System Based on Mahout

推荐系统是一种根据用户喜好做出预测的应用系统,本文通过对推荐系统以及推荐系统的理论,包括相似度、协同过滤、基于内容等介绍,并对基于Mahout系统交互模型和系统架构进行分析介绍,最后分析了基于Mahout的推荐系统在大数据时代的优势。

Recommendation system is a kind of application system to make predictions based on the habits of users.This paper introduced the recommendation system and the theory of recommendation system,including similarity,collaborative filtering,content-based and so on,than introduced system interaction model and system architecture based on mahout, finally analyzed the advantages of recommendation system based on Mahout in the age of big data.