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2009
ACM

Argo: intelligent advertising by mining a user's interest from his photo collections

9 years 8 months ago
Argo: intelligent advertising by mining a user's interest from his photo collections
In this paper, we introduce a system named Argo which provides intelligent advertising made possible from users’ photo collections. Based on the intuition that user-generated photos imply user interests which are the key for profitable targeted ads, the Argo system attempts to learn a user’s profile from his shared photos and suggests relevant ads accordingly. To learn a user interest, in an offline step, a hierarchical and efficient topic space is constructed based on the ODP ontology, which is used later on for bridging the vocabulary gap between ads and photos as well as reducing the effect of noisy photo tags. In the online stage, the process of Argo contains three steps: 1) understanding the content and semantics of a user’s photos and auto-tagging each photo to supplement user-submitted tags (such tags may not be available); 2) learning the user interest given a set of photos based on the learnt hierarchical topic space; and 3) representing ads in the topic space and match...
Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying
Added 20 May 2010
Updated 20 May 2010
Type Conference
Year 2009
Where KDD
Authors Xin-Jing Wang, Mo Yu, Lei Zhang, Rui Cai, Wei-Ying Ma
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