计算机与现代化Issue(3)：78-82,5.DOI:10.3969/j.issn.1006-2475.2018.03.015
基于降噪自动编码器的推荐算法
A Recommendation Algorithm Based on Denoising Autoencoders
摘要
Abstract
The traditional recommendation algorithm generally uses the user project score matrix to learn the potential factors,un-derstand the user's personal preferences and make recommendations,but in practice,the score matrix is usually very sparse.Ai-ming at the shortcomings of traditional recommendation algorithm, a recommendation model based on noise reduction automatic encoder is proposed.First,two automatic encoders are used to train the potential factor matrix of the user and the project, and then the implied feature vector is input into a neural network to carry out the scoring prediction.Finally,the recommendation is made according to the new score matrix.The experimental results show that the proposed algorithm improves the recall rate of the recommended results and reduces the reconstruction error.关键词
自动编码器/深度学习/神经网络/协同过滤/降噪自动编码器Key words
autoencoders/deep learning/neural network/collaborative filtering/denoising autoencoders分类
信息技术与安全科学引用本文复制引用
武玲梅,陆建波,刘春霞..基于降噪自动编码器的推荐算法[J].计算机与现代化,2018,(3):78-82,5.基金项目
国家科技支撑计划课题(2015BAH55F02) （2015BAH55F02）
广西科学研究与技术开发计划项目(桂科攻14124005-2-7) （桂科攻14124005-2-7）
