A Fuzzy Logic Based Recommendation System for Classified Advertisement Websites

被引:1
|
作者
Shard, Umar [1 ]
Kamal, Md. Rafik [1 ]
Rahman, Rashedur M. [1 ]
机构
[1] North South Univ, Dept Elect & Comp Engn, Plot 15,Block B, Dhaka 1229, Bangladesh
来源
ARTIFICIAL INTELLIGENCE TRENDS IN INTELLIGENT SYSTEMS, CSOC2017, VOL 1 | 2017年 / 573卷
关键词
Fuzzy logic; Recommendation system; Near fuzzy compactness; e-commerce websites;
D O I
10.1007/978-3-319-57261-1_25
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Classified e-commerce sites have seen a rapid growth in the last few years with the availability of internet to mass people. But as most sites do not offer an intelligent recommender system, ordinary customers looking for a specific product face the daunting task of finding the perfect product in accordance with his requirements and budget. Besides, most of the time, sellers do not have the idea about the exact market value of their item. It results in either under valuation or over valuation which hampers to get a good price that could benefit both the seller and the buyer. We propose a fuzzy logic based intelligent recommender system which will intelligently recommend products most suitable with buyer's requirements. It does not require extensive user information. Though we have used it only for mobile devices in the experiment, results indicate that the system is effective and efficient, and can be implemented for any product based on their features.
引用
收藏
页码:249 / 261
页数:13
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