Real-Time Search over a Microblogging System
Real-Time Search over a Microblogging System
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DOI：
10.1109/cgc.2012.110
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发表时间：
2012-11
期刊：
影响因子：
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通讯作者：
Ming Gao;Cheqing Jin;Weining Qian;Xueqing Gong
中科院分区：
文献类型：
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作者：
Ming Gao;Cheqing Jin;Weining Qian;Xueqing Gong
近年来，微博系统越来越流行，包括twitter和新浪微博等，用户不仅习惯于发布最新消息，还愿意在系统中搜索感兴趣的话题。然而，两个主要问题使得在微博系统上的实时搜索具有挑战性。首先，系统中的数据量非常巨大。第二，用户渴望在短时间内得到响应。本文设计并实现了一个微博实时搜索系统，该系统包括数据预处理、索引、搜索和排名四个关键模块。在真实的数据集上的大量实验证明了该方法的有效性和高效性。
The microblog systems are becoming more and more popular in recent years, including twitter and sina weibo, etc. Users are not only used to release the latest news, but also willing to search interesting topics in the system. However, two main issues make real-time search over a microblog system challenging. First, the volume of data in a system is quite huge. Second, the users are eager to get the response in short time. In this paper, we have designed and implemented a real-time search system for a microblog system, which includes four key modules, including data preprocessing, indexing, searching and ranking. The extensive experiments on the real datasets demonstrate the effectiveness and efficiency of our proposed method.