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	Efficient mining of skyrank items in recommender systems
	Huang, Zhenhua ; Wang, Dong ; Sun, Shengli
	2012
英文摘要	Mining of skyrank items has recently received a lot of attention in recommender system community. Literature [3] presents an efficient algorithm ZHYX to produce the skyrank items in one single subspace. However, in multi-user environments, recommender systems generally receive multiple subspace skyrank queries simultaneously. Hence, in this paper, we propose the first efficient sound and complete algorithm, i.e. AMMSSI(Algorithm for Mining Multiple Subsapce Skyrank Items), to markedly reduce the total response time. The detailed theoretical analyses and extensive experiments demonstrate that our proposed algorithm is both efficient and effective. ? (2012) Trans Tech Publications.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/412377]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Huang, Zhenhua,Wang, Dong,Sun, Shengli. Efficient mining of skyrank items in recommender systems. 2012-01-01.

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