A Recommendation System Model for Instagram Influencer Marketing Campaign

social media is a critical platform for brand promotion; hence, influencer marketing has recently gained much attention. A recommendation system was developed with a multimodal convolutional neural network to resolve the challenge of matching a brand with the right influencer. This system makes unique fingerprints for brands and influencers by analysing image and text data to establish matching effectiveness, reaching 84% accuracy. It incorporates attention mechanisms for user profiling, with similar advanced clustering applied to matching. Therefore, such a framework can optimise marketing campaigns by finding the most relevant influencers for any brand.