基于Hadoop的数字图书馆推荐系统

2015 IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA) Pub Date : 2015-06-11 DOI:10.1109/NCCA.2015.27

A. Ismail, Haytham Tawfeek al Feel

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引用次数: 6

摘要

DBLP被认为是大量科学论文的数字存储库，它没有一个简单的、可扩展的方式让用户找到他们需要的东西。本文介绍了一种基于Hadoop和Hive-Ql作为查询引擎，采用MapReduce并行编程框架实现大数据环境下的数字图书馆推荐系统DLRS。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Digital Library Recommender System on Hadoop

DBLP that is considered a digital repository of a massive amount of scientific papers does not have an easy and scalable way for users to find what they need. Our paper introduces a digital library recommender system named DLRS that facilitates the searching process in big data environment based on Hadoop and Hive-Ql as a query engine using MapReduce parallel programming framework.

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来源期刊

2015 IEEE Fourth Symposium on Network Cloud Computing and Applications (NCCA)

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