A5101705800- Advanced Bandit Algorithms Research
- Recommender Systems and Techniques
- Stochastic Gradient Optimization Techniques
- Data Stream Mining Techniques
- Image and Video Quality Assessment
- Misinformation and Its Impacts
Google (United States)
2023-2024
Effective exploration is believed to positively influence the long-term user experience on recommendation platforms. Determining its exact benefits, however, has been challenging. Regular A/B tests often measure neutral or even negative engagement metrics while failing capture benefits. We here introduce new experiment designs formally quantify value of by examining effects content corpus, and connecting corpus growth from real-world experiments. Once established values exploration, we...
Sequential recommenders have been widely used in industry due to their strength modeling user preferences. While these models excel at learning a user's positive interests, less attention has paid from negative feedback. Negative feedback is an important lever of control, and comes with expectation that should respond quickly reduce similar recommendations the user. However, signals are often ignored training objective sequential retrieval models, which primarily aim predicting interactions....
Effective exploration is believed to positively influence the long-term user experience on recommendation platforms. Determining its exact benefits, however, has been challenging. Regular A/B tests often measure neutral or even negative engagement metrics while failing capture benefits. We here introduce new experiment designs formally quantify value of by examining effects content corpus, and connecting corpus growth from real-world experiments. Once established values exploration, we...