Bayesian filtering implementation for web content
Jonathan Bulava, Brian Wanner · Journal of computing sciences in colleges · 2005
The overall project goal is to design, implement and deploy a Bayesian filtering system used to calculate the suitability of web content in an online community of similar-minded uses. It is in this environment where community leaders can create web filters that prevent access to content deemed inappropriate by the community (e.g. corporate offices, church groups, etc.). Our current research focuses on producing an efficient technique to enable a filter, and acquire swift performance for the filter when calculating the validity of a web page.