Abstract
The traditional TF-IDF probability model is a relatively simple formula. For a few words which are commonly used and not stop words in a paper,it is lack of better differentiate and is not suitable for many specific cases, such as news advertising service module, about extraction of key words of the article, according to the deficiencies and the demand of news advertising service module, on the basis of the original algorithm, presents a new probability model——MTF-IDF, it greatly improves the accuracy of news information data retrieval.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, JR., Mao, YF., Yang, K. (2011). Improvement and Application of TF * IDF Algorithm. In: Liu, B., Chai, C. (eds) Information Computing and Applications. ICICA 2011. Lecture Notes in Computer Science, vol 7030. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25255-6_16
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DOI: https://doi.org/10.1007/978-3-642-25255-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25254-9
Online ISBN: 978-3-642-25255-6
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