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Found 5 papers, 1 papers with code
Epsilon non-Greedy: A Bandit Approach for Unbiased Recommendation via Uniform Data
Recent studies have attempted to mitigate this bias by collecting small amounts of unbiased data.
ChOracle: A Unified Statistical Framework for Churn Prediction
In this approach which is more realistic in real world online services, at each time-step the model predicts the user return time instead of predicting a churn label.
Recurrent Poisson Factorization for Temporal Recommendation
Poisson factorization is a probabilistic model of users and items for recommendation systems, where the so-called implicit consumer data is modeled by a factorized Poisson distribution.
Continuous-Time User Modeling in the Presence of Badges: A Probabilistic Approach
However, typical point process based models often considered the impact of peer influence and content on the user participation and neglected other factors.
HNP3: A Hierarchical Nonparametric Point Process for Modeling Content Diffusion over Social Media
These capabilities allow the proposed model to adapt its temporal and topical complexity according to the complexity of data, which makes it a suitable candidate for real world scenarios.
