计算机科学 ›› 2017, Vol. 44 ›› Issue (Z11): 470-475.doi: 10.11896/j.issn.1002-137X.2017.11A.100
杜波,俞岩,戴刚
DU Bo, YU Yan and DAI Gang
摘要： 针对传统协同过滤算法在构建指挥员与指挥要素间的协同过滤关系时面临着数据稀疏、冷启动等问题,提出了一种面向反恐任务的指挥信息多重协同过滤算法。该算法首先通过作战类型对指挥要素进行基于云模型的预协同过滤,然后将凝聚子集分析融入基于用户的协同过滤中,挖掘特定战斗类型下的指挥员与指挥要素间的相似性关系,进而实现精准推荐。实验表明,该算法贴合面向作战任务的指挥信息系统应用实践,有效提高了系统的推荐效率和准确度。
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