Research on Application of Improved Adaptive Filtering Algorithm in Community E-learning Knowledge Service

In this paper, an improved adaptive filtering algorithm based on vector space model was proposed. First, feature selection and pseudo feedback were used to select the initial filtering profiles and thresholds through training algorithm. Then user feedback was utilized to modify the profiles and thresholds adaptively through filtering algorithm. The algorithm had two advantages, the first was that it could carry on self-study to improve the precision; the second was that the execution did not need massive initial texts in the process of filtering. The algorithm was also used in individuality knowledge service system based on community e-learning (IKSSCE). The results manifested that the algorithm was effective.