基于向量空间模型的互联网上下文广告

Tian Xia, Yanmei Chai, Hong Lu, Tong Wang
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引用次数: 2

摘要

网络广告是一门新兴的分支和前沿学科。近年来,它的商业价值急剧增加。为了使广告的商业价值最大化,有必要把广告带到有可能购买的受众面前。这种广告目的就是所谓的精准广告,是营销的最高理想。然而,这种营销需要技术创新。本文提出了一种基于向量空间模型的互联网情境广告方法,实现了基于网页情境内容的广告印象展示。本文最后的实验也证明了该方法的商业适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vector Space Model Based Internet Contextual Advertising
Internet Advertising is a new branch and frontier subject. The commercial value of it increases dramatically recent years. To maximize the commercial value, it is necessary to bring advertisement to the audience who much possibly purchases. This advertising aim is so called accurate advertising and is the highest ideal of marketing. However, such marketing needs technical innovations. This paper proposes a Vector Space Model based Internet Contextual Advertising method which realize displaying advertisement impressions based on the web page contextual content. The experiments at the end of this paper also show its commercial applicability.
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