Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
11-2012
Abstract
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.
Discipline
Theory and Algorithms
Research Areas
Data Science and Engineering
Publication
Proceedings of the 21st Text Retrieval Conference (TREC 2012)
Publisher
NIST Special Publication: SP 500-298
City or Country
Geithersburg, MD, USA
Citation
GAO, Wei; WEI, Zhongyu; and WONG, Kam-Fai.
Microblog search and filtering with time sensitive feedback and thresholding based on BM25. (2012). Proceedings of the 21st Text Retrieval Conference (TREC 2012).
Available at: https://ink.library.smu.edu.sg/sis_research/4645
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://trec.nist.gov/pubs/trec21/papers/qcri_twitsear.micro.final.pdf