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

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 tec...

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Main Authors: GAO, Wei, WEI, Zhongyu, WONG, Kam-Fai
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access: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
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spelling sg-smu-ink.sis_research-56482020-01-02T08:26:39Z Microblog search and filtering with time sensitive feedback and thresholding based on BM25 GAO, Wei WEI, Zhongyu WONG, Kam-Fai 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. 2012-11-01T07:00:00Z text application/pdf 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 http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Theory and Algorithms
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Theory and Algorithms
spellingShingle Theory and Algorithms
GAO, Wei
WEI, Zhongyu
WONG, Kam-Fai
Microblog search and filtering with time sensitive feedback and thresholding based on BM25
description 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.
format text
author GAO, Wei
WEI, Zhongyu
WONG, Kam-Fai
author_facet GAO, Wei
WEI, Zhongyu
WONG, Kam-Fai
author_sort GAO, Wei
title Microblog search and filtering with time sensitive feedback and thresholding based on BM25
title_short Microblog search and filtering with time sensitive feedback and thresholding based on BM25
title_full Microblog search and filtering with time sensitive feedback and thresholding based on BM25
title_fullStr Microblog search and filtering with time sensitive feedback and thresholding based on BM25
title_full_unstemmed Microblog search and filtering with time sensitive feedback and thresholding based on BM25
title_sort microblog search and filtering with time sensitive feedback and thresholding based on bm25
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url 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
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