计算机与现代化Issue(1)：127-129,138,4.DOI:10.3969/j.issn.1006-2475.2011.01.037
基于潜在语义分析的农户个性化推荐系统的研究与设计
Research and Design of Farmer Personalized Recommender System Based on Latent Semantic Analysis
鲍光余 1朱东海1
作者信息
- 1. 海南大学信息学院,海南,海口,570228
- 折叠
摘要
Abstract
Personalized recommender system has been widely used in electronic commerce, but there is very few recommender system designed for farmers.According to the actual situation and the existing conditions, a farmer personalized recommender system based on latent semantic analysis is researched and designed.Latent semantic analysis can overcome the polyseme and synonym problems and easy to calculate, which improves the efficiency of the recommender system.These methods and treating processes have certain reference meanings to other recommender system.关键词
农户/潜在语义分析/个性化推荐系统分类
信息技术与安全科学引用本文复制引用
鲍光余,朱东海..基于潜在语义分析的农户个性化推荐系统的研究与设计[J].计算机与现代化,2011,(1):127-129,138,4.
