Personalized Layer Retrieve for M-Learning Resources on Users Interest

Because of a big amount of m-learning resources, the thesis puts forward the technique of learning resources integration based on granular computing. Then introducing personalized concept into the system, the paper puts forward a personalized layer retrieval method based on users interest. Users information retrieval is opposed to ant colonys foraging action. One-time scanning process of each node of the website is opposed to once ant colonys foraging action period. According to users scanning log information, users interest mode can be dynamically identified. This method is easy to realize and can capture the short-term and long-term changes of users interest quickly and accurately.