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.