Implementation of network processor-based content filtering;

Techniques of improving filtering profiles in content filtering;

Research and Implementation of Intelligence Content Filtering Firewall Based on Linux;

In the view of the harm caused by spam,a content filter technology is presented in this paper.

It filters the Web information by combining the models of the URL filter and the content filter and improves the traditional mechanisms of URL filter.

Based on the comprehensive application of collaborative filtering and content-based filtering method,and via the evaluation of website s Web page ,this paper suggests a new personal Web recommendation algorithm and studies the personal model based on the Web page key words,the weighted computation of key words in the website s page,the new users rec.

This paper dissertates two kinds of techniques of content-based filtering and collaborative filtering.

There are two kinds of text filtering: Content-based Filtering and CollaborativeFiltering.

As two basic information filtering approaches, content-based filtering and collaborative filtering are widely used in personalized information service systems.

Filtering based on database and filtering based on text content are combined to adopt to a two-step approach,and the webpage collected can be handled with related technology.