Real-time search over a microblogging system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012
Pages352-359
Number of pages8
DOIs
StatePublished - 2012
Event2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012 - Xiangtan, Hunan, China
Duration: 1 Nov 20123 Nov 2012

Publication series

NameProceedings - 2nd International Conference on Cloud and Green Computing and 2nd International Conference on Social Computing and Its Applications, CGC/SCA 2012

Conference

Conference2nd International Conference on Cloud and Green Computing, CGC 2012, Held Jointly with the 2nd International Conference on Social Computing and Its Applications, SCA 2012
Country/TerritoryChina
CityXiangtan, Hunan
Period1/11/123/11/12

Keywords

  • Social network
  • exponential time index set
  • learning to rank
  • real-time search

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