Study on Recommendation Algorithm Based on Artificial Immune Network

摘要

A recommendation algorithm based on artificial immune network is proposed to deal with the problems of data sparsity and scalability in recommendation technology in the paper. The algorithm can reduce data sparsity and improve the accuracy by using its own mechanisms for dynamic regulation of the immune. The experimental results show that the algorithm has improved the recommend accuracy and has some practical significance.