Application of Collaborative Filtering Technology in Intelligent Recommendation Systems
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.
collaborative filteringuser interest mining algorithmsintelligent recommendation systems
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