Intelligent shopping mall agent based on user´s preference

In this paper, we propose an improved intelligent search engine for electronic commerce shopping mall. At present, most intelligent search engines search goods simply based on input of customer´s preference. However, it is hard to exactly understand the propensity of consumers, such as not dealing effectively with multiple interests. We offer internet shopping mall stores a more intellectual search engine that does not depend on customer´s inadequate ready-made response but analyzes the preference of customers after tracking and gathering enough purchasing pattern data. This allows the system to display product information of the customer´s taste