Improvement and Application of TF * IDF Algorithm

Autor:	Ji-Rui Li, Kai Yang, Yan-Fang Mao
Rok vydání:	2011
Předmět:	Service module Stop words Basis (linear algebra) Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Key (cryptography) Data mining tf–idf computer.software_genre Information data Algorithm computer Probability model
Zdroj:	Information Computing and Applications ISBN: 9783642252549 ICICA (LNCS)
DOI:	10.1007/978-3-642-25255-6_16
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8ab756896365c1e1d38cfb30662eea10 https://doi.org/10.1007/978-3-642-25255-6_16 Zobrazit plný text záznamu