Multi-criteria Recommendation based on Direct Latent Factor Model

摘要：

Multi-criteria recommendation is a way to help individuals in a community to find information or items that are most likely to be interested or be relevant to their needs in multi-criteria rating environments. However, the existing approaches always extend the two dimensional algorithms to three dimensional ones and dont take into account the influence between the criteria. This paper presents a Direct Latent Factor (DLF) model to predict unknown ratings by estimating the latent factor matrix between known and unknown ratings. Experiment results show that DLF model provides more accurate prediction and better performance in precision-recall metrics.

关键词： multi-criteria recommender system direct latent factor model gradient descent

作者: Hongliang Lv Jinlin Wang Feng Deng

作者单位: Graduate University of Chinese Academy of Sciences Beijing,China National Network New Media Engineer National Network New Media Engineering Research Center,Institute of Acoustics,Chinese Academy of Sci

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Network Technology(ICCNT 2011)(2011第三届IEEE计算机与网络技术国际会议)

会议地点: 太原

会议语种:英文

页码: 234-238

在线出版日期: 2011-02-26（万方平台首次上网日期，不代表论文的发表时间）