Self-Supervised Bot Play for Conversational Recommendation with Justifications

Abstract

System (re-)scores candidate items using user preference embedding System suggests top-scoring item and generates a justification The Eye of the World The Hobbit The Last Unicorn Assassin's Apprentice "You might like The Eye of the World. It's a complex high fantasy novel about politics." User accepts the suggestion or User critiques an aspect from the justification "I don't really care for politics" System updates user preference embedding via critique Figure 1: Conversational critiquing workflow. The system scores candidate items and generates a justification for the top item.If the user rejects the suggestion and critiques an aspect, the system uses the critique to update the latent user representation.