Multimodal learning for image popularity prediction on social media
Billions of photographs are uploaded to the Internet every day through image sharing services, e.g., Flickr, Instagram, etc. The growing size of these social media poses new challenges in social popularity prediction. In this paper, we try to use a multimodal learning approach which uses both tag feature and visual feature for popularity prediction. We compare several multimodal approaches with unimodal approaches in our experiments and show the results.