Difference between revisions of "Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising"
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== Overview == | == Overview == | ||
As a prevalent type of Web advertising, contextual advertising refers to the placement of the most relevant ads into a Web page, so as to increase the number of ad-clicks. However, some problems of homonymy and polysemy, low intersection of keywords etc., can lead to the selection of irrelevant ads for a page. In this paper, authors present a new contextual advertising approach to overcome the problems, which uses [[Wikipedia]] concept and category information to enrich the content representation of an ad (or a page). First, authors map each ad and page into a keyword vector, a concept vector and a category vector. Next, authors select the relevant ads for a given page based on a similarity metric that combines the above three feature vectors together. Last, authors evaluate approach by using real ads, pages, as well as a great number of concepts and [[categories]] of Wikipedia. Experimental results show that approach can improve the precision of ads-selection effectively. | As a prevalent type of Web advertising, contextual advertising refers to the placement of the most relevant ads into a Web page, so as to increase the number of ad-clicks. However, some problems of homonymy and polysemy, low intersection of keywords etc., can lead to the selection of irrelevant ads for a page. In this paper, authors present a new contextual advertising approach to overcome the problems, which uses [[Wikipedia]] concept and category information to enrich the content representation of an ad (or a page). First, authors map each ad and page into a keyword vector, a concept vector and a category vector. Next, authors select the relevant ads for a given page based on a similarity metric that combines the above three feature vectors together. Last, authors evaluate approach by using real ads, pages, as well as a great number of concepts and [[categories]] of Wikipedia. Experimental results show that approach can improve the precision of ads-selection effectively. | ||
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| + | == Embed == | ||
| + | === Wikipedia Quality === | ||
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| + | Wu, Zongda; Xu, Guandong; Pan, Rong; Zhang, Yanchun; Hu, Zhiwen; Lu, Jianfeng. (2011). "[[Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising]]".DOI: 10.1145/2063576.2063901. | ||
| + | </nowiki> | ||
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| + | === English Wikipedia === | ||
| + | <code> | ||
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| + | {{cite journal |last1=Wu |first1=Zongda |last2=Xu |first2=Guandong |last3=Pan |first3=Rong |last4=Zhang |first4=Yanchun |last5=Hu |first5=Zhiwen |last6=Lu |first6=Jianfeng |title=Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising |date=2011 |doi=10.1145/2063576.2063901 |url=https://wikipediaquality.com/wiki/Leveraging_Wikipedia_Concept_and_Category_Information_to_Enhance_Contextual_Advertising}} | ||
| + | </nowiki> | ||
| + | </code> | ||
| + | |||
| + | === HTML === | ||
| + | <code> | ||
| + | <nowiki> | ||
| + | Wu, Zongda; Xu, Guandong; Pan, Rong; Zhang, Yanchun; Hu, Zhiwen; Lu, Jianfeng. (2011). &quot;<a href="https://wikipediaquality.com/wiki/Leveraging_Wikipedia_Concept_and_Category_Information_to_Enhance_Contextual_Advertising">Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising</a>&quot;.DOI: 10.1145/2063576.2063901. | ||
| + | </nowiki> | ||
| + | </code> | ||
Revision as of 09:14, 22 May 2020
Authors | Zongda Wu Guandong Xu Rong Pan Yanchun Zhang Zhiwen Hu Jianfeng Lu |
|---|---|
Publication date | 2011 |
DOI | 10.1145/2063576.2063901 |
Links | Original Preprint |
Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising - scientific work related to Wikipedia quality published in 2011, written by Zongda Wu, Guandong Xu, Rong Pan, Yanchun Zhang, Zhiwen Hu and Jianfeng Lu.
Overview
As a prevalent type of Web advertising, contextual advertising refers to the placement of the most relevant ads into a Web page, so as to increase the number of ad-clicks. However, some problems of homonymy and polysemy, low intersection of keywords etc., can lead to the selection of irrelevant ads for a page. In this paper, authors present a new contextual advertising approach to overcome the problems, which uses Wikipedia concept and category information to enrich the content representation of an ad (or a page). First, authors map each ad and page into a keyword vector, a concept vector and a category vector. Next, authors select the relevant ads for a given page based on a similarity metric that combines the above three feature vectors together. Last, authors evaluate approach by using real ads, pages, as well as a great number of concepts and categories of Wikipedia. Experimental results show that approach can improve the precision of ads-selection effectively.
Embed
Wikipedia Quality
Wu, Zongda; Xu, Guandong; Pan, Rong; Zhang, Yanchun; Hu, Zhiwen; Lu, Jianfeng. (2011). "[[Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising]]".DOI: 10.1145/2063576.2063901.
English Wikipedia
{{cite journal |last1=Wu |first1=Zongda |last2=Xu |first2=Guandong |last3=Pan |first3=Rong |last4=Zhang |first4=Yanchun |last5=Hu |first5=Zhiwen |last6=Lu |first6=Jianfeng |title=Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising |date=2011 |doi=10.1145/2063576.2063901 |url=https://wikipediaquality.com/wiki/Leveraging_Wikipedia_Concept_and_Category_Information_to_Enhance_Contextual_Advertising}}
HTML
Wu, Zongda; Xu, Guandong; Pan, Rong; Zhang, Yanchun; Hu, Zhiwen; Lu, Jianfeng. (2011). "<a href="https://wikipediaquality.com/wiki/Leveraging_Wikipedia_Concept_and_Category_Information_to_Enhance_Contextual_Advertising">Leveraging Wikipedia Concept and Category Information to Enhance Contextual Advertising</a>".DOI: 10.1145/2063576.2063901.
