M2FN: Multi-step Modality Fusion for Advertisement Image Assessment
Kyung-Wha Park,
Jung-Woo Ha,
JungHoon Lee
et al.
Abstract:Assessing advertisements, specifically on the basis of user preferences and ad quality, is crucial to the marketing industry. Although recent studies have attempted to use deep neural networks for this purpose, these studies have not utilized image-related auxiliary attributes, which include embedded text frequently found in ad images. We, therefore, investigated the influence of these attributes on ad image preferences. First, we analyzed large-scale realworld ad log data and, based on our findings, proposed … Show more
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