Aggregation method of recommender systems with way of sparse matrix reduction by sociality structure
推荐系统中显式评分输入的用户聚类方法研究

Started in the sparse matrix of recommender systems,and ensured the recommended coverage rate.Based on the idea of sociality density,improved the accuracy by matrix reduction.With the user ratings matrix which had been normalized,transformed the consistency score matrix.Meanwhile,with the concept of sociality,got an aggregation analysis result based on user similarity score preferences through adjusting the matrix.Computed the sociality densities by constructing a sociality network diagram.Selected the maxi...