计算机工程与应用Issue(15)：36-40,5.DOI:10.3778/j.issn.1002-8331.1603-0380
结合个体影响力和信任传递的推荐算法
Recommender system algorithm combing personal compact and trust propagation
摘要
Abstract
According to data sparsity and recommendation accuracy problem in recommender systems, a matrix decompo-sition algorithm is proposed to preserve the original data structure. Using the projection structure of Non-Negative matrix factorization algorithm, combining the trust propagation model and the personal compact calculation model and user rating prediction model, a fusion of influential individuals projection of the structure of non-negative matrix factorization recommendation algorithm is proposed to improve the precision of the recommendation system. Through the experiments prove that, compared with other algorithms, this algorithm not only reduces the MAE and RMSE, but also improves the prediction accuracy of the system.关键词
个体影响力/推荐系统/信任传递/非负矩阵分解Key words
Personal Compact/recommender systems/trust propagation/non-negative matrix factorization分类
信息技术与安全科学引用本文复制引用
杨强,杨有..结合个体影响力和信任传递的推荐算法[J].计算机工程与应用,2017,(15):36-40,5.基金项目
重庆市教委科技项目(No.KJ130646). （No.KJ130646）
