多Agent协同的电子商务推荐系统模型

doi:10.11772/j.issn.1001-9081.2014.04.1118

计算机应用 ›› 2014, Vol. 34 ›› Issue (4): 1118-1121.DOI: 10.11772/j.issn.1001-9081.2014.04.1118

多Agent协同的电子商务推荐系统模型

危世民,戴牡红

湖南大学信息科学与工程学院,长沙 410082

收稿日期:2013-10-08 修回日期:2013-12-03 出版日期:2014-04-01 发布日期:2014-04-29
通讯作者: 戴牡红
作者简介:危世民(1986-),男,福建三明人,硕士研究生,主要研究方向:电子商务、推荐系统;
戴牡红(1964-),男,湖南涟源人,副教授,主要研究方向:数据库、企业信息化、决策支持、知识工程。
基金资助:
湖南省自然科学基金资助项目

Multi-Agent cooperative E-commerce recommender system model

WEI Shimin,DAI Duhong

College of Information Science and Engineering, Hunan University, Changsha Hunan 410082, China

Received:2013-10-08 Revised:2013-12-03 Online:2014-04-01 Published:2014-04-29
Contact: DAI Duhong

摘要/Abstract

摘要：

为了进一步提高电子商务推荐系统中商品推荐的准确性和高效性，通过分析传统推荐系统存在的问题和已有的优化方案，提出了多Agent的电子商务推荐系统模型。推荐系统通过人工智能领域中的多Agent技术，并应用终端自适应特性，改善了传统推荐系统在多终端情况下的电子商务系统的推荐效率，并根据用户使用的不同终端动态返回推荐结果。实验结果表明，多Agent协同的电子商务推荐系统在一定程度上提高了推荐效率和准确性。

Abstract:

In order to further improve the accuracy and efficiency of product recommendation in E-commerce recommender system, by analyzing the problems of traditional recommender system and prior optimization technique, a multi-Agent recommender system model was proposed. By adopting multi-Agent technique in Artificial Intelligence (AI) and terminal self-adaption, this model improved the efficiency of traditional recommender system in the condition of using multi-terminal, and dynamically returned recommendation to users according to different terminals. The experimental results show that multi-Agent cooperative E-commerce recommender system improves the accuracy and efficiency to a certain extent.

中图分类号:

TP18

危世民戴牡红. 多Agent协同的电子商务推荐系统模型[J]. 计算机应用, 2014, 34(4): 1118-1121.

WEI Shimin DAI Duhong. Multi-Agent cooperative E-commerce recommender system model[J]. Journal of Computer Applications, 2014, 34(4): 1118-1121.

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多Agent协同的电子商务推荐系统模型

Multi-Agent cooperative E-commerce recommender system model

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