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Leveraging Latent Concepts for Retrieving Relevant Ads For Short Text ..Authors: Ankit Patil,Kushal Dave,Vasudeva Varma Conference: 35th European Conference on Information Retrieval Date: 2013-03-24 Report no: IIIT/TR/2013/10 AbstractThe microblogging platforms are increasingly becoming a lu- crative prospect for advertisers to attract the customers. The challenge with advertising on such platforms is that there is very little content to retrieve relevant ads. As the microblogging content is short and noisy and the ads are short too, there is a high amount of lexical/vocabulary mismatch between the micropost and the ads. To bridge this vocabu- lary mismatch, we propose a conceptual approach that transforms the content into a conceptual space that represent the latent concepts of the content. We empirically show that the conceptual model performs better than various state-of-the-art techniques the performance gain obtained are substantial and significant. Full paper: pdf Centre for Search and Information Extraction Lab |
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