Experiments in sparsity reduction: Using clustering in collaborative recommenders

被引：0

作者：

Bridge, D ^{[1
]}

Kelleher, J ^{[1
]}

机构：

[1] Natl Univ Ireland Univ Coll Cork, Cork, Ireland

来源：

ARFIFICIAL INTELLIGENCE AND COGNITIVE SICENCE, PROCEEDINGS | 2002年 / 2464卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The high cardinality and sparsity of a collaborative recommender's dataset is a challenge to its efficiency. We generalise an existing clustering technique and apply it to a collaborative recommender's dataset to reduce cardinality and sparsity. We systematically test several variations, exploring the value of partitioning and grouping the data.

引用

页码：144 / 149

页数：6

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