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Found 6 papers, 1 papers with code
A Semi-Synthetic Dataset Generation Framework for Causal Inference in Recommender Systems
To better support the studies of causal inference and further explanations in recommender systems, we propose a novel semi-synthetic data generation framework for recommender systems where causal graphical models with missingness are employed to describe the causal mechanism of practical recommendation scenarios.
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges
Recently, recommender system (RS) based on causal inference has gained much attention in the industrial community, as well as the states of the art performance in many prediction and debiasing tasks.
Sublimable Materials Facilitate the Sample Preparation for Transmission Electron Microscopy
Sublimable materials facilitate the TEM sample preparation of oil-soluble nanomaterials.
High-performance photodetector based on centimeter-scale perovskite single-crystalline thin film
They have been used in a variety of devices with performance approaching or over the devices based on conventional materials.
10000 gain of perovskite photodetector based on large-scale high-quality single-crystalline thin film
They have been used in a variety of devices with performance approaching or over the devices based on conventional materials.
The highest gain of single-crystalline perovskite photodetectors based on high-quality single-crystalline thin film
We find that a suitable thickness of the perovskite SC‐TF is crucial in device performance.
