一种基于运营商大数据的产品推荐模型

摘要

为了充分利用运营商的大数据资源给用户推荐合适的产品,设计了一种基于运营商大数据的产品推荐模型.推荐模型在基础数据、位置数据、上网行为数据的基础上建立了属性标签体系,基于两步聚类特征分析以及序列关联用户行为分析为用户推荐合适的产品,提高了产品运营效率以及产品推荐的效果.%To recommend appropriate products to users it designs a recommendation model based on operator of big data, establishes the attribute system and the recommendation model at the basis of essential data, builds the position data and on-line behaviors data.The two-step clustering feature analysis provides recommending suitable products to users, the sequence associated user behavior analysis improves the efficiency of products operation and the effect of product recommendations.