Information Filtering Algorithm Based on Feature Vector

摘要

Network has become an important tool to transmit information now. Personalization and accuracy are the key issues for the development information filtering. To help the network information safe guarders control the bad information and identify the bad websites, this article presents the information filtering algorithm based on feature vector, and studies the text representation, feature vector extraction and the similarity computational. The result of experiment shows that the information filtering algorithm is effective and feasible.