OTA系统中的个性化应用推荐系统研究

Research on Personalized Application Recommendation System in the OTA System

本文首先提出了OTA全新的个性化应用推荐系统模型,然后对移动用户下载使用与兴趣之间的关联作了讨论与分析,并给出了算法,最后对个性化推荐的两种常见实现方法,即聚类分析与关联规则进行了讨论,给出了OTA系统中的个性化应用推荐引擎的设计思路与实现算法。

This paper focus on the relationship between user＇ s behavior of using this system and their preference and discussing the interests reflected by their behavior, and gives an algorithm of mining user＇s preference, then the paper introduces a personalized application recommendation engine based on the methods of clustering and mining association rules to implement recommendation valuable application items to users.