Research on personalized recommendation system of family textile products based on ART

被引：0

作者：

Hua Q. ^{[1
]}

机构：

[1] Department of Information Engineering, Zhejiang Textile and Fashion College, NingBo

来源：

Advances in Information Sciences and Service Sciences | 2011年 / 3卷 / 10期

关键词：

ART; Clustering; MAE; Personalized; Recommender system;

D O I：

10.4156/AISS.vol3.issue10.57

中图分类号：

学科分类号：

摘要：

The recommendation model of textile products used by family, which is based on adaptive resonance theory(ART) of artifical neural network, is researched. The first, data collection of web pages, which is browsed, is introduced. Then data refining procedure is analysed. In order to solve the recommendation model, we study the ART, which analyses clustering items and processes, implements self-adaptive recommendation services. Experimental results show that the system is stable and effective to predict users interest preferences and capture users excursion of interests. All these results demonstrate that the recommendation algorithm performed well.

引用

页码：469 / 476

页数：7

共 14 条

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