Abstract: Deals with the problem of information overload on the Web, and proposes a new information immune model (IIM) based on gene algorithm. According to the specificity of immune cells, IIM applies different chromosomes to describe user interests, emphasizes on blocking irrelevant information with variable thresholds. In order to construct efficient chromosomes, feature selection and information entropy are adopted. Finally, a prototype of IIM was developed and tested. Precision of IIM is 27\^5% higher than Rocchio, and recall of IIM is 47\^7% higher than Rocchio.