基于标签和云模型的协同过滤算法

Collaborative Filtering Algorithm Based on Tag and Cloud Model

引入云模型改进基于标签的用户相似性和资源相似性度量方法,进而提出了基于标签和云模型的协同过滤算法.通过在Movie Lens数据集上的实验表明:改进后的算法在precision,recall和F1-measure三个指标上均取得较好的推荐效果,推荐效率均优于传统的方法.

In order to use the tag information more accurately reflect the characteristics of users and resources, the cloud model was introduced to improve the user similarity and resource similarity measurement method based on tags,and a collaborative filtering algorithm based on tag and cloud model was proposed. Experiments on the MovieLens data set showed that the improved algorithm has better recommendation effects on three evaluation metrics which are precision, recall and FI-measure, the effectiveness of the recommendation is better than traditional method.