Abstract
The vector space model, for its simple method and quick processing speed, has been used widely in the retrieval system, but if used in Web articles retrieval, it can not distinguish the index entry in different places on the ability to express the theme of Web articles difference. In this paper, four level vector space model are proposed considering the characteristics of Web articles, giving full consideration to the index entries appear in the title, abstract, keywords and the location of the body weight, constructed a model of article representation and its similarity function, experiments show that The model is applied to Web articles retrieval, with the order of the output capability, high efficiency inquiry, and experiment with different positions through the weight changes, discussed the four-model range of reasonable values of the weights.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Salton, G., Wong, A.: On the specification of term value in automatic indexing. Journal of Articulation 29(4), 351–372 (1973)
Salton, G.: The SMART Retrieval System-Experiments in Automatic Article Processing. Prentice-Hall, Englewood Cliffs (1971)
Lei, J.-S.: Multi-vector space model of web information retrieval methods. J. Computer Applications 4, 26–30 (2004)
Zhi-Ping, C., Ya-Ping, L., Sheng, T.: Based on vector space model of N levels of information retrieval algorithms. J. Computer Research and Development 10, 83–87 (2002)
Yaohong, Z.: Research and implementation of information index system based on vector space model. J. Journal of Changchun University 19(8), 25–27, 31 (2009)
Jump, G.b.: Based on the query expansion mechanism of the Chinese text retrieval model. J. Liaoning Teachers College 3, 99 (2000)
Xuan, D., et al.: Chinese Web indexing sources subject to a survey of expression. J. University Library Journal 10(6), 391–407 (2002)
XiaoPing, Y., Hao, D., Dupei, H.: Based on vector space model of the Chinese Information Retrieval. J. Computer Engineering and Applications 15, 112–114 (2003)
Xiaofang, Z.: A Study and Evaluation on Several Important Information Retrieval Models. Journal of Information 3, 123–125 (2008)
Xinming, G., Gai-zhen, Y.: Research on Model of User Profile Base on Vector Space Model. J. Journal of Xianyang Normal University 6, 53–55 (2009)
Xu, W.: Based on Vector Space Model of Text Categorization System Research and Implementation. J. Northern Jiaotong University 2, 40–43 (2003)
Fu-Hua, F., Wanjun, Z.: Vector space model by means of a quick way to retrieve text information. J. Computer Engineering and Science 11, 61–63 (2004)
Liu, S.-H., Kai, D., Haijun, Z., Rong, L., Zhong-Zhi, S.: Vector space model based on multi-level text classification. J. Chinese Information Technology 3, 9–15, 27 (2002)
Fen-hua, W.J.: Digital Library Vector Space Model based article classification system. J. Information Science 7, 10–12 (2004)
Jin, H.Y., Zhou, X.-L., Ling, L., Wang, X.-L.: Based on vector space model of Bayesian text classification. J. Computer and Digital Engineering 6, 28–30, 77 (2004)
Yuying, J. (an exploration): Network Theory of Information Retrieval Model and Evaluation System. J. Information Theory and Practice 5, 523–527 (2004)
Yanlong, C., Zhiming, Z.: The English Text Difficulty Measurement Based Vector Space Model. Computer Knowledge and Technology 12, 108–182 (2010)
Zhenyu, H.: Information Retrieval System Evaluation of the correlation. Library Journal 2, 45–47 (2003)
Cheng, W., Lu, L., Ming, Z.: A Method for Web News-Text Classification with Four-dimensional Vector Space Model. Microcomputer Applications. J. 3, 60–64 (2010)
Lihua, W., Yunfeng, L., Hongbin, Z.: Information retrieval model and its correlation algorithm. J. Information Science 12, 25–27 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yan, H., Liu, X., Wang, J. (2010). Research on Web Articles Retrieval Based on N-VSM. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Communications in Computer and Information Science, vol 106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16339-5_60
Download citation
DOI: https://doi.org/10.1007/978-3-642-16339-5_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16338-8
Online ISBN: 978-3-642-16339-5
eBook Packages: Computer ScienceComputer Science (R0)