|Table of Contents|

Study of Intelligent Goods Search Strategies Based on Genetic Algorithm(PDF)

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2014年04期
Page:
126-
Research Field:
计算机科学
Publishing date:

Info

Title:
Study of Intelligent Goods Search Strategies Based on Genetic Algorithm
Author(s):
Kang Xiaofeng; Shao Xiaogen
Department of Information and Electrical Engineering,Xuzhou Institute of Technology,Xuzhou 221008,China
Keywords:
search engine; intelligence; genetic algorithm; natural coding
PACS:
TP20
DOI:
-
Abstract:
The e-commerce shopping systems have greatly offered benefits to our daily life,however,the systems developed now often make the user spend a lot of time finding the satisfactory goods in e-commerce due to the increasing of commerce information.An Intelligent search strategies based on Genetic Algorithm is proposed to overcome the above shortages.Firstly,a natural coding was designed to encode the goods according to their key words and the ones entered by the user.Then,For effectively comparing the satisfied degree of the user on all displayed goods,a fitness function was built based on the goods the user had evaluated.Lastly,a personalized search strategy with Java was developed and compared with the traditional Search Strategy,and the results show that our algorithm is obviously advanced in saving user time and improving trade success.

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Last Update: 2014-12-31