GPT as a Baseline for Recommendation Explanation Texts

Understand

In this work, we establish a baseline potential for how modern model-generated text explanations of movie recommendations may help users, and explore what different components of these text explanations that users like or dislike, especially in contrast to existing human movie reviews.

• We found that participants gave no significantly different rankings between movies, nor did they give significantly different individual quality scores to reviews of movies that they had never seen before.
• However, participants did mark reviews as significantly better when they were movies they had seen before.
• We also explore specific aspects of movie review texts that participants marked as important for each quality.