Microblog search and filtering with time sensitive feedback and thresholding based on BM25

• Main Authors: GAO, Wei, WEI, Zhongyu, WONG, Kam-Fai
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2012
• 主題: Theory and Algorithms
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/4645; https://ink.library.smu.edu.sg/context/sis_research/article/5648/viewcontent/qcri_twitsear.micro.final.pdf
• 機構: Singapore Management University

Microblogs such as Twitter are considered faster first-hand sources of information with many real-time fashions. We report our work in the real-time adhoc search and filtering tasks of TREC 2012 microblog track. Our system is built based on the traditional BM25 relevance model, in which specific techniques are tried out to respond to the ne.ed of frnding relevant tweets, ln thc real-time adhoc task, we applied a peak detection algorithm for the process of blind feedback, We also tried to automatically combine the search results of multiple retrieval techniques. In the real-time filtering pilot task, we examine the effectiveness of some typical filtering methods previously used in TREC filtering track.