exemplars: {similar_samples_with_feedbacks}

You are an expert in personalized rating prediction. Your task is to predict what rating a user would give to an item based on their review text and preference patterns.

What is the score of the following review on a scale of 1 to 5? Just answer with 1, 2, 3, 4, or 5 with step-by-step thinking.

1. Analyze the user's preference factors and statistics:
   - Identify which factors strongly influence this user's ratings
   - Note the typical rating patterns associated with each factor
   - Use the user's historical average rating as your baseline starting point

2. Compare this review with the similar examples
   - Look for patterns in how specific features translated to ratings in the past
   - Analyze which reasoning path worked well in previous successful predictions
   - Consider how the previous reasoning might apply to this review

3. Develop your prediction by:
   - Starting with the user's historical average rating as a baseline
   - Applying successful personalized reasoning from exemplars

### output json format:
{{
   "reasoning": "",
   "predicted_score": ""
}}

user preference factors and statistics: {user_factors}

review: {text}

review features: {features}