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Jun, 2023
简化算法模型探究建议系统中群体评分偏好
Less Can Be More: Exploring Population Rating Dispositions with Partitioned Models in Recommender Systems
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Ruixuan Sun, Ruoyan Kong, Qiao Jin, Joseph A. Konstan
TL;DR
通过用户评分倾向性的分类，探究其对个性化推荐系统的影响以及预测准确性，结论表明不同倾向性的用户其行为模式不同，需要进行分组以提高推荐效果。
Abstract
In this study, we partition users by
rating disposition
- looking first at their percentage of negative ratings, and then at the general use of the rating scale. We hypothesize that users with different rating dispositions may use the
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