An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truth
Multi-modal Explanations
In our dataset, the users can select both textual and visual explanations according to their preferences for each video.
Multi-aspect Explanation Ground Truth
In our dataset, we provide the explanation ground truths from the perspectives of persuasiveness, informativeness and satisfaction.
Real User Labeled Dataset
In our dataset, the ground truths annotators are exactly the people who produce the user-item interactions in the dataset.
Comprehensive User Information
In our dataset, we have collected user profiles like the age, gender, income, hobby and physiology information.