LLM-Based Assistive Recommendation

Large Language Models (LLMs) have demonstrated impressive capabilities for natural language understanding and generation. What if we power recommender systems with LLMs that can reason through user activities on the platform, and can help plan recommendations accordingly? Equipped with UXR insights that people use nuanced language to describe their long-term interest journeys, and they want more user agency in their recommender platforms, we pinpoint a combination of LLMs and personalization as a key ingredient for the next generation of assistive recommendation.