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中文摘要：
Top-K查询在搜索引擎、电子商务等领域有着广泛的应用．Top-K查询从海量数据中返回最符合用户需求的前K个结果，主要目的是消除信息过载带来的负面影响．大数据背景下的Top-K查询，给数据管理和分析等方面带来新的挑战．结合MapReduce的特点，从数据划分、数据筛选等方面对云环境下的大数据Top-K查询问题进行深入研究．实验结果表明，该方法具有良好的性能和扩展性．
英文摘要：
Top-K query has been widely used in lots of modern applications such as search engine and e-commerce. Top-K query returns the most relative results for user from massive data, and its main purpose is to eliminate the negative effect of information overload. Top-K query on big data has brought new challenges to data management and analysis. In light of features of MapReduce, this paper presents an in-depth study of Top-K query on big data from the perspective of data partitioning and data filtering. Experimental results show that the proposed approaches have better performance and scalability.
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