The author introduces InteraRec, a novel recommendation framework that leverages screenshots and large language models to provide personalized recommendations, diverging from traditional approaches.
Weblogs offer valuable insights into user preferences, but InteraRec diverges from traditional approaches by using screenshots and MLLMs to provide personalized recommendations efficiently.
InteraRec introduces a novel recommendation framework using screenshots and large language models to provide personalized and effective recommendations to users.