Toward personalized peer-to-peer top-k processing.
EUROSYS(2009)
摘要
ABSTRACTWe present the first personalized peer-to-peer top-k search protocol for a collaborative tagging system. Each peer maintains relevant personalized information about its tagging behavior as well as that of its social neighbors, and uses those to locally process its queries. Extensive experiments based on a real-world dataset crawled from del.icio.us shows that very little storage at each peer suffices to get almost the same results as a hypothetical centralized solution with infinite storage.
更多查看译文
关键词
Manufacturing Distribution, Enterprise Location Choice, Impact Factors, Nested Logit Model (NLM), Nanchong
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络