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08/25/2021
Understanding Longitudinal Dynamics of Recommender Systems with Agent-Based Modeling and Simulation
Today's research in recommender systems is largely based on experimental...
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12/19/2020
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
Combining machine learning with econometric analysis is becoming increas...
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11/06/2020
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness
Due to accessible big data collections from consumers, products, and sto...
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05/01/2019
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Recommender systems are personalized information access applications; th...
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07/25/2017
Price and Profit Awareness in Recommender Systems
Academic research in the field of recommender systems mainly focuses on ...
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04/08/2014
Data mining for censored time-to-event data: A Bayesian network model for predicting cardiovascular risk from electronic health record data
Models for predicting the risk of cardiovascular events based on individ...
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04/08/2014
