Research on Friendvertising-Counter Technology in Big Data
Authors: 
Pei Ren, Hui Liu, Fengyin LiAuthors Info & Claims
Pages 283 - 289
Abstract
In today’s society, the Internet is rapidly developing, Internet merchants can use the user information they have mastered to analyze consumer preferences. Then they conduct product recommendations to maximize profits. The accumulation of data on the behavior of consumers browsing, purchasing, and viewing advertisements on the Internet has become the basic source of information used by Internet companies to analyze users. The Internet merchant platform uses the behavioral preference data of the users that have been mastered before to analyze the different usage habits of users of different consumption levels and their usage requirements. However, combined with the characteristics of e-commerce, it can be found that this kind of killing phenomenon is not only reflected in the price differential pricing, but the quality difference and service difference on the same price basis may become the target of the merchant platform. The main contributions of this dissertation are as follows:(1) Research on big data killing against technology. (2) Design and implementation of big data killing system. The fuzzy Internet platform builds the consumer user portrait to achieve the goal of combating big data.
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Published In
Oct 2020
622 pages
ISBN:978-3-030-62459-0
DOI:10.1007/978-3-030-62460-6
© Springer Nature Switzerland AG 2020.
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 08 October 2020
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