CAMUS: Attribute-Aware Counterfactual Augmentation for Minority Users in Recommendation.
Yuxin YingFuzhen ZhuangYongchun ZhuDeqing WangHongwei ZhengPublished in: WWW (2023)
Keyphrases
- recommender systems
- collaborative filtering
- recommendation systems
- end users
- user interaction
- online dating
- information overload
- user requirements
- recommendation algorithms
- user feedback
- cold start problem
- product recommendation
- web content
- user experience
- user generated content
- item recommendation
- user modeling
- user interface
- personalized recommendation
- data sparsity
- recommendation quality
- browsing behavior
- website
- social networking websites
- cold start
- implicit feedback
- user preferences
- context aware
- association rules