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知识图谱增强的电子政务服务深度推荐方法(KGDR-EGs):基于多源异构 ...
为解决电子政务服务信息过载问题,重庆研究人员提出知识图谱增强的深度推荐方法(KGDR-EGs)。该方法通过深度矩阵分解(Deep Matrix Factorization)提取用户特征,构建多源异构政务服务知识图谱,结合实体上下文与描述信息生成服务特征向量,最终通过联合学习实现精 ...
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