基于Web Mining的推荐系统

推荐系统(Recommender System)被电子商务站点用来向顾客提供信息以帮助顾客选择产品,其基本思想是以统计结果或者顾客以前的行为记录为依据,推测顾客未来可能的行为并给出相应的推荐。本文对基于传统技术和Web mining技术的推荐系统进行了简要综述,同时描述了基于Web mining技术的推荐系统的工作流程,重点分析了应用于推荐系统的各种具体Web mining技术及其算法比较。

Recommender System Based on Web Mining

The recommender system is used by E-commerce sites to supply information to the customer in order to help them decide their choices.It's primary idea is to predict the potential behavior of the customer and give related recom- mendations,based on statistical data and behavior logs of the customer in the last.This paper introduces briefly the recommender system based on traditional technologies and Web mining technologies.It describes the processes of the recommender system based on Web mining technologies,analyzes the Web mining technologies used in recommender systems and the comparison between their algorithms.This paper is a survey.