Personalized Tweet Recommendation Using Users’ Image Preferences

In the era of information explosion, the vast amount of data on social media platforms can overwhelm users. As a result, personalized recommendation systems have become increasingly important to help users navigate and make sense of this data. We propose a novel technique to use users’ image preferences to recommend tweets. We extract vital information by analyzing images liked by users and use it to recommend tweets from Twitter.