@Article{JICS-6-227,
author = {Meiling Liu, Dequan Zheng, Tiejun Zhao, Honge Ren and Yang Yu},
title = {Dynamic Multi-Document Summarization Research based on Matrix Subspace Analysis Model},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {6},
number = {3},
pages = {227--233},
abstract = {In this paper, we described dynamic evolution of network information, as well as identify and 
analysis the document collection on the same topic in different stages. Dynamic summarization considers the 
different documents’ temporal relationship in multi-document and analyzes the relationship between emerged 
information  and  emerging  information.  In  order  to  construct  a  dynamic  evolution  of  content  differences,  a 
dynamic multi-document summarization model was presented, called the Matrix Subspace Analysis Method 
model. On this basis, proposed some efficient dynamic sentence weighting methods, and experiments on the 
test data of Update Summarization in TAC2008, we showed effectiveness results.  
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22679.html}
}