Research on an Improved Precision Advertising System

Abstract:

With sharply rising of electronic commerce, many people would rather shop on Internet. Many advertiser companies take advantage this opportunity to promote their products. This paper introduces an improved precision system based on parallel system with Hadoop framework. It is designed for processing massive data in PB level. It can meet different users to see different types of advertising content. This paper also introduces a key algorithm of user classification.

• Periodical: Applied Mechanics and Materials (Volumes 380-384)
• Pages: 2443-2446
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.380-384.2443
• Online since: August 2013
• Authors: Song Tao Shang, Yong Quan Lu, Peng Dong Gao, Chu Qiu
• Keywords: Hadoop, MapReduce, Naive Bayesian, Precision Advertising

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