To efficiently resolve the problem of missing data in cooperative filter algorithm (instead of simply using defaults), a new approach based on principal component analysis and fuzzy clustering was proposed.
To efficiently resolve the problem of missing data in cooperative filter algorithm (instead of simply using defaults), a new approach based on principal component analysis and fuzzy clustering was proposed.
摘要为了高效地解决协同过滤算法中的遗漏值问题，而不是简单地用缺省值加以代替，提出了一种新的、在协同过滤中的遗漏值处理方法。