A Kind of Adaptive Recommend System Based on Collaborative Filtering Technology
Yang Liu · Journal of Liaoning University of Petroleum & Chemical Technology · 2007
In e-commerce times,it is important for an e-commerce website whether it can provide better personality and individuality services for customers.An adaptive recommend framework was presented and accuracy of recommendation was improved through combining some basic recommendation algorithms.Average method and grouping adjustment method were given to solve combination problems of these basic algorithms.The experiment shows that the two methods have well recommend results.The framework can avoid defects of single algorithm,and it is more suitable for recommend application of e-commerce.