Implicit Feedback
- 정의
- impression, viewable impression
- Related papers
- Collaborative Filtering for Implicit Feedback Datasets: Also
- BPR - Bayesian Personalized Ranking from Implicit Feedback
- An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data
- Modeling impression discounting in large-scale recommender systems
- Interpreting user inaction in recommender systems
- Reinforced Negative Sampling for Recommendation with Exposure Data
- SimpleX - A Simple and Strong Baseline for Collaborative Filtering
- Denoising Implicit Feedback for Recommendation
- User Fatigue in Online News Recommendation
B) Implicit Negative Feedback
(viewable impression) 활용의 focus
- 피드백이 적은 유저군에서 잘 해보자는게 포인트
- 콜드 유저에게 클릭 데이터를 받는 것은 매우 제한적이니, 상대적으로 많이 받을 수 있는 vimp 데이터를 잘 활용해보자는 것이 포인트 (어찌보면, vimp 를 잘 활용해서 welcome 추천 flow 를 잘 만들어보는 것)
C) Multiple Signals
references