Title :
Application research for the information searching system based on Bayesian Algorithm
Author :
Zhong-Sheng, Wang ; Chen-Yan, Liang
Author_Institution :
Xi´´an Technol. Univ., Xi´´an, China
Abstract :
This paper proposes a solution of filtering garbage information, in order to solve the problem of dynamic delivery of documents. The solution balances the technique of Black and White List Spam Filtering, as well as the advantages and disadvantages of and Bayesian Algorithm. It creates the Bayesian Model based on the analysis of probability distributions of Junk key words, as well as design and implement a set of information filtering system. The system implements information filtering accurately and intelligently.
Keywords :
Bayes methods; document handling; information services; statistical distributions; unsolicited e-mail; Bayesian algorithm; Junk key words; black-and-white list; document delivery; garbage information filtering; information searching system; list spam filtering; probability distributions; Bayesian methods; Digital filters; Electronic mail; Filtering algorithms; Information filtering; Information filters; Inspection; Tellurium; Unsolicited electronic mail; Waste materials; Bayesian algorithm; Filter; Spam Information;
Conference_Titel :
Networking and Digital Society (ICNDS), 2010 2nd International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5162-3
DOI :
10.1109/ICNDS.2010.5479245