A Semantic Approach to Recommending Text Advertisements for Images
Authors | Weinan Zhang Li Tian Xinruo Sun Haofen Wang Yong Yu |
|---|---|
Publication date | 2012 |
ISBN | 978-145031270-7 |
DOI | 10.1145/2365952.2365987 |
Links |
A Semantic Approach to Recommending Text Advertisements for Images - scientific work about Wikipedia quality published in 2012, written by Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang and Yong Yu.
Overview
In recent years, more and more images have been uploaded and published on the Web. Along with text Web pages, images have been becoming important media to place relevant advertisements. Visual contextual advertising, a young research area, refers to finding relevant text advertisements for a target image without any textual information (e.g., tags). There are two existing approaches, advertisement search based on image annotation, and more recently, advertisement matching based on feature translation between images and texts. However, the state of the art fails to achieve satisfactory results due to the fact that recommended advertisements are syntactically matched but semantically mismatched. In this paper, authors propose a semantic approach to improving the performance of visual contextual advertising. More specifically, authors exploit a large high-quality image knowledge base (ImageNet) and a widely-used text knowledge base (Wikipedia) to build a bridge between target images and advertisements. The image-advertisement match is built by mapping images and advertisements into the respective knowledge bases and then finding semantic matches between the two knowledge bases. The experimental results show that semantic match outperforms syntactic match significantly using test images from Flickr. Authors also show that their approach gives a large improvement of 16.4% on the precision of the top 10 matches over previous work, with more semantically relevant advertisements recommended.
Embed
Wikipedia Quality
Zhang, Weinan; Tian, Li; Sun, Xinruo; Wang, Haofen; Yu, Yong. (2012). "[[A Semantic Approach to Recommending Text Advertisements for Images]]". Web Intelligence and Agent Systems Volume 10, Issue 3, 2012, pp. 319-330. ISBN: 978-145031270-7. DOI: 10.1145/2365952.2365987.
English Wikipedia
{{cite journal |last1=Zhang |first1=Weinan |last2=Tian |first2=Li |last3=Sun |first3=Xinruo |last4=Wang |first4=Haofen |last5=Yu |first5=Yong |title=A Semantic Approach to Recommending Text Advertisements for Images |date=2012 |isbn=978-145031270-7 |doi=10.1145/2365952.2365987 |url=https://wikipediaquality.com/wiki/A_Semantic_Approach_to_Recommending_Text_Advertisements_for_Images |journal=Web Intelligence and Agent Systems Volume 10, Issue 3, 2012, pp. 319-330}}
HTML
Zhang, Weinan; Tian, Li; Sun, Xinruo; Wang, Haofen; Yu, Yong. (2012). "<a href="https://wikipediaquality.com/wiki/A_Semantic_Approach_to_Recommending_Text_Advertisements_for_Images">A Semantic Approach to Recommending Text Advertisements for Images</a>". Web Intelligence and Agent Systems Volume 10, Issue 3, 2012, pp. 319-330. ISBN: 978-145031270-7. DOI: 10.1145/2365952.2365987.
