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Towards Personalized Advertising in Sponsored Search

机译:在赞助搜索中对个性化广告

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Web advertising is one of the major sources of income for numerous search engines, news sites and non-commercial publishers. Textual ads, characterized by Sponsored Search (SS) and Content Match (CM), make up a significant portion of Web advertising. In SS, with limited information about ad contents, given a query, the challenge is to place relevant ads alongside organic search results. Organic search results are ranked based on their relevance to search keyword. However, SS results are not necessarily ranked purely based on relevance due to various factors influencing the ads overall ranking such as bid phrase and displayed position. The displayed ads may not relate to a user's information need. In this paper, a study associating ads and users, referred to as personalized advertising is proposed. User profiles are used as external knowledge to establish the relationship between the users and the ads.
机译:Web广告是众多搜索引擎,新闻网站和非商业出版商的主要收入来源之一。文本广告,其特征是由赞助的搜索(SS)和内容匹配(cm),构成了一部分的Web广告。在SS中,给定查询有关广告内容的有限信息,挑战是将相关的广告与有机搜索结果一起放置。有机搜索结果基于与搜索关键字的相关性进行排名。然而,由于影响广告的各种因素如出价和显示位置,因此,SS结果不一定是基于相关的相关性,例如影响广告的广告。显示的广告可能与用户的信息无关。本文提出了一项关于个人化广告的ADS和用户的研究。用户配置文件用作外部知识,以建立用户和广告之间的关系。

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