计算机与现代化 ›› 2011, Vol. 1 ›› Issue (1): 127-3.doi: 10.3969/j.issn.1006-2475.2011.01.037

• 中文信息技术 • 上一篇    下一篇

基于潜在语义分析的农户个性化推荐系统的研究与设计

鲍光余,朱东海   

  1. 海南大学信息学院,海南 海口 570228
  • 收稿日期:2010-09-21 修回日期:1900-01-01 出版日期:2011-01-20 发布日期:2011-01-20

Research and Design of Farmer Personalized Recommender System Based on Latent Semantic Analysis

BAO Guang-yu, ZHU Dong-hai   

  1. College of Information Science and Technology, Hainan University, Haikou 570228, China
  • Received:2010-09-21 Revised:1900-01-01 Online:2011-01-20 Published:2011-01-20

摘要:

推荐系统在电子商务中得到广泛运用,但是专门针对农民的推荐系统还寥寥无几。本文根据农村实际情况和现有条件,研究和设计一个基于潜在语义分析的农户个性化推荐系统。潜在语义分析技术(LSA)克服了多义词和同义词问题,具有可计算性强等优点,从而提高推荐系统的运行效率。本系统所采用的方法和处理形式,对其它推荐系统具有一定的借鉴意义。

关键词: 农户, 潜在语义分析, 个性化推荐系统

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.

Key words: farmer, latent semantic analysis, personalized recommender system