Advertising based on users' photos

Authors:
Xin-Jing Wang;Mo Yu;Lei Zhang;Wei-Ying Ma
Affiliations:
Microsoft Research Asia;Harbin Institute of Technology;Microsoft Research Asia;Microsoft Research Asia
Venue:
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Year:
2009

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Abstract

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.