Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
SBIA: search-based image annotation by leveraging web-scale images
Proceedings of the 15th international conference on Multimedia
Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
Delivering online advertisements inside images
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Interactive service recommendation based on ad concept hierarchy
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
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Though monetizing user-generated photos has a great potential in image business, this topic is seldom touched due to the difficulties of both image understanding and ads-to-images vocabulary matching. In this technical demonstration, we show case the Argo system, which attempts to monetize UGC (user-generated content) photos by mining a user's interest from a group of his photos and advertising the photos accordingly. Given a page of photos, it first auto-tags each photo by a large-scale search-based image annotation method, then maps both image annotations and the textual descriptions of ads onto an ODP-based topic hierarchy. The mapping produces semantic features which are statistical distributions on ODP topics. Ads are ranked by their similarities to such topic distributions of the photos and the top-ranked ones are output.