Abstract

With the rapid development of the Internet, the amount of information that people encounter daily has exploded. so that they can search and acquire information according to their own preferences. The difference in preferences between people is more and more diverse. It is hard for traditional E-commerce advertisements that target everyone to achieve the expected results. This study combined Big Data technology with E-commerce advertising system. The system accurately identified the consuming propensity, consuming demand and consuming situation of network users. The results showed it could recommend personalized customized advertisements, optimize the advertising effect and helping advertisers to evaluate the advertising channel.

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