Real-Time Search over a Microblogging System

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.