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洞見 - Interactive Recommendation Framework
InteraRec: Interactive Recommendations Using Multimodal Large Language Models
The author introduces InteraRec, a novel recommendation framework that leverages screenshots and large language models to provide personalized recommendations, diverging from traditional approaches.
InteraRec: Interactive Recommendations Using Multimodal Large Language Models
Weblogs offer valuable insights into user preferences, but InteraRec diverges from traditional approaches by using screenshots and MLLMs to provide personalized recommendations efficiently.
InteraRec: Interactive Recommendations Using Multimodal Large Language Models
InteraRec introduces a novel recommendation framework using screenshots and large language models to provide personalized and effective recommendations to users.
