协同过滤技术在智能推荐系统中的应用

Application of Collaborative Filtering Technology in Intelligent Recommendation Systems

阐述协同过滤技术在智能推荐系统中的问题及原因,包括数据稀疏性、冷启动、算法扩展性,灵活性和可解释性,提出数据预处理和特征选择、算法选择和组合、实时推荐和增量更新的应用策略。

This paper describes the issues of collaborative filtering technology in intelligent recommendation systems,including data sparsity,cold start,algorithm scalability,flexibility,and interpretability.It proposes application strategies for data preprocessing and feature selection,algorithm selection and combination,real-time recommendation,and incremental updates.