Title :
A Document-Based Information Retrieval Model Vector Space
Author :
Yubo, Jia ; Xing, Dong ; Yi, Wang ; Hongdan, Fan
Author_Institution :
Inst. of Inf. & Electron, Zhejiang Sci-Tech Univ., Hangzhou, China
Abstract :
Based on the study of traditional retrieval models, an improved model of vector space information retrieval has been proposed in the paper. The model has fully considered the effect of file structure on the importance of words. It can avoid the disadvantages of low recall and precision in the vector space model if the improved model is selected to calculate the similarity.
Keywords :
information retrieval; vectors; document based information retrieval model; file structure; vector space information retrieval; Computational modeling; Computers; Correlation; Indexes; Mathematical model; Search engines; Precision; Recall; Retrieval Model; Search Engine;
Conference_Titel :
Networking and Distributed Computing (ICNDC), 2011 Second International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4577-0407-9
DOI :
10.1109/ICNDC.2011.21
