Finding Topic-Related Tweets Using Conversational Thread
Microblog has gained more and more users around the world,the popularity of which makes information spreading in microblog the most important and influential activities on the Intemet.Therefore,search in microblog is of the most significant issue for both academic and industrial world.Search in webpages has been studied for several decades,but as for microblog it is still an open and brand new question for everyone.Search in microblog is more difficult than that in traditional webpages because of the sparseness of the messages.Search functions in current microblogging services simply match microblog messages with query words,which cannot guarantee the correlation between the retrieving messages and the users intention.We introduce the concept of conversational thread to gain more information and improve the search result in microblog.We also use SVMRank to train a model to determine the rank of relevance of the queries and messages.Through a series of experiments,we proved that our method is easy to implement,and can improve the precision up to 29% in average.
Microblog Search Conversational Thread SVMRank
Peng Cao Shenghua Liu Jinhua Gao Huawei Shen Jingyuan Li Yue Liu Xueqi Cheng
Institute of Computing Technology,Chinese Academy of Sciences,Beijing,100190;Graduate School of Chin Institute of Computing Technology,Chinese Academy of Sciences,Beijing,100190
国际会议
7th IFIP TC 12 International Conference (第七届智能信息处理国际会议 (IIP 2012))
桂林
英文
258-267
2012-10-12（万方平台首次上网日期，不代表论文的发表时间）