What does Traditional recsys lack natural language steering, creating user experience bottlenecks mean for operators?

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Traditional recsys lack natural language steering, creating user experience bottlenecks. LLM-recommender hybrid enables conversational recommendations but requires 79k user sequences for training. 66k products after filtering titles >20 chars 737k behavioral records from user interactions 79k user sequences with avg 6.5 items each Implement semantic IDs for LLM-native item representation

NuggetsAI

NuggetsAI

LLM learns to speak item IDs creating steerable bilingual recommender system