InteraRec: Screenshot Based Recommendations Using Multimodal Large Language Models

Understand

Weblogs, comprised of records detailing user activities on any website, offer valuable insights into user preferences, behavior, and interests.

• Numerous recommendation algorithms, employing strategies such as collaborative filtering, content-based filtering, and hybrid methods, leverage the data mined through these weblogs to provide personalized recommendations to users.
• Despite the abundance of information available in these weblogs, identifying and extracting pertinent information and key features from them necessitate extensive engineering endeavors.
• The intricate nature of the data also poses a challenge for interpretation, especially for non-experts.