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田震 等:深度矩阵分解推荐算法 3927

富知识的辅助信息,例如用户年龄、性别、工作和物品类别等,这可能是未来的工作方向.同时,不同种类信息对
于推荐结果的贡献程度也是不一样的,如何合理地为不同信息赋予权重,也是值得关注的的问题.

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