Since the recent behaviors are more effective to capture the users' potential interests, an improved hybrid recommendation algorithm was proposed for making use of the partial recent information.The experimental results on the benchmark dataset Netflix indicate that by only adopting approximately 31.11% recent rating records, the accuracy can be improved by an average of 4.22%, and the diversity can be improved by 13.74%.Furthermore, it is found that the improved algorithm is suitable for the users with different level of activeness.The study is valuable in both theory and practice, and it could effectively handle the calculation complexity triggered by massive data.