Study On The Recommendation System Based On Artificial Immune System

The rapid development of information technology and network technology brings about a revolutionary change for people to live, work and research. This change brought tremendous convenience, also led to the "information overload" and "mislead". It has become a hot issue in the field of information technology that how to help people interested in the effective use of information. Recommendation System came into being in this premise. After less than 20 years of development, recommendation system has produced many methods. Collaborative filtering technology is the most mature technology, of course, there are still many such technical deficiencies.Artificial Immune is an increasingly important area in the field of computational technology. Biological Immune is a strong information-processing system with diversity-recognizing capability, enhanced learning mechanics and distributed associate memory. Simulating biological immune system, the new computational techniques can solve not only the science but also the engineering problems.Based on the immune principles, this paper presents propose a modified recommendation algorithm based on artificial immune system. At the beginning, the recommendation system common technologies are introduced. Then the biology of the immune system and the artificial immune some basic concepts are described. Bring in the ideas to the recommendation system and propose a modified recommendation algorithm based on artificial immune system. This algorithm solves the problem of recommendation accuracy by the traditional collaborative filtering algorithm. In the process of the result calculating recommendation, this essay has brought new methods which having improved recommendation result further. At the end, the experiment to collect data from public databases verified the effectiveness and feasibility of the algorithm.