文章摘要
李琳娜,江雪琴.推荐系统中的隐语义模型研究[J].情报工程,2016,2(4):030-039
推荐系统中的隐语义模型研究
Research on the Latent Factor Model in Recommender System
  
DOI:10.3772/j.issn.2095-915X.2016.04.005
中文关键词: 隐语义模型,推荐系统,隐含语义分析,评价指标
英文关键词: Latent factor model, recommender system, latent semantic analysis, evaluation metrics
基金项目:国家科技支撑计划项目:面向科技情报分析的信息服务资源开发与支撑技术研究(2015BAH25F01),中国工程 科技知识中心建设项目:知识组织体系建设(CKCEST-2016-2-10)
作者单位
李琳娜 中国科学技术信息研究所 
江雪琴 中国科学技术信息研究所 
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中文摘要:
      隐语义模型是一种有效的隐含语义分析技术,其核心思想是通过潜在特征联系用户和物品。本 文从理论方法的角度,详细介绍了隐语义模型的工作原理、模型表示、学习方法和评价指标等,并通 过具体实验分别讨论几种典型隐语义模型算法的推荐效果,以全面认识和理解该模型在推荐系统中的 应用特点。
英文摘要:
      Latent factor model is an efficient method for latent semantic analysis. The core idea of latent factor model is to link users and items through implicit features. In this paper, the theory of latent factor model was introduced firstly, and its representation and solution was discussed subsequently. Three classic Latent factor models were introduced in details. Furthermore, the performances of these models were compared through experiments based on test dataset, and the characteristic of latent factor model in applications were also discussed
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