Strategy for online advertising based on fuzzily clustering Web pages
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摘要: 随着网络广告的迅猛发展，其市场竞争也愈发激烈.在网络中实现广告的精准投放，对提高网络广告的回报率具有重要意义.本文提出了广告投放页面特征向量空间和广告投放页面特征向量模型，并基于此模型提出了广告投放页面的模糊向量表示方法，以及广告投放页面模糊向量空间的生成方法.给出了运用广告投放页面模糊聚类方法来实现广告的准确投放.文中采用实验来说明所提方法的计算效率和投放效果.Abstract: With the rapid development of online advertising, the competition in Ad marketing is becoming more and more intense. It is important to accurately target for enhancing the ROI of online advertising. This paper proposes the definitions of the eigenvector space and eigenvector model of web pages for online advertising.Based on these concepts, it presents a fuzzy vector representation and its generating method for online advertising web pages. To accurately target advertising, it exploits a fuzzy clustering approach to partition web pages. A group of experiments has been conducted to verify the advertising efficiency and effectiveness with the proposed approach.
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Key words:
- fuzzy clustering /
- vector space /
- online advertising
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