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Multimodal Hashtag Recommendation System by er.kirtijain25 is a document available to read on EtoBox.

This article presents a hybrid deep neural network method named DESIGN for multimodal personalized hashtag recommendation on social media. The method integrates textual and visual information to suggest relevant hashtags, addressing the limitations of existing approaches that typically focus on a single modality. Experimental results demonstrate that DESIGN outperforms state-of-the-art methods by effectively capturing user preferences and the interdependencies among hashtags.

Author

er.kirtijain25

Language

EN