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ICMCS
2009
IEEE

Advertising based on users' photos

8 years 5 days ago
Advertising based on users' photos
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) understanding a user's photos to detect his interest, and 2) bridging the lexical and semantic gap between the vocabulary of ads and that of general users' photos. We solve the first problem by employing a data-driven image annotation approach to annotate each photo and modeling a group of photos, and tackle the second problem by learning and matching the topics of users' photos and ads. The experiments based on real Flickr data showed the effectiveness of the approach.
Xin-Jing Wang, Mo Yu, Lei Zhang 0001, Wei-Ying Ma
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICMCS
Authors Xin-Jing Wang, Mo Yu, Lei Zhang 0001, Wei-Ying Ma
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