Alexander Tuzhilin

11편

• Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
  misq · 2025 · 인용 2 · Recommender Systems and Techniques
• Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems
  misq · 2025 · 인용 0 · Recommender Systems and Techniques
• HyperCARS: Using Hyperbolic Embeddings for Generating Hierarchical Contextual Situations in Context-Aware Recommender Systems
  isr · 2024 · 인용 9 · Recommender Systems and Techniques
• When Variety Seeking Meets Unexpectedness: Incorporating Variety-Seeking Behaviors into Design of Unexpected Recommender Systems
  isr · 2023 · 인용 16 · Consumer Market Behavior and Pricing
• Heterogeneous Demand Effects of Recommendation Strategies in a Mobile Application: Evidence From Econometric Models And Machine-Learning Instruments
  misq · 2022 · 인용 15 · Consumer Market Behavior and Pricing
• Know Thy Context: Parsing Contextual Information from User Reviews for Recommendation Purposes
  isr · 2021 · 인용 28 · Recommender Systems and Techniques
• Recommending Remedial Learning Materials to Students by Filling Their Knowledge GAPS
  misq · 2018 · 인용 44 · Intelligent Tutoring Systems and Adaptive Learning
• Research Note—In CARSs We Trust: How Context-Aware Recommendations Affect Customers’ Trust and Other Business Performance Measures of Recommender Systems
  isr · 2016 · 인용 82 · Recommender Systems and Techniques
• REQUEST: A Query Language for Customizing Recommendations
  isr · 2010 · 인용 54 · Data Management and Algorithms
• On the Use of Optimization for Data Mining: Theoretical Interactions and eCRM Opportunities
  ms · 2003 · 인용 111 · Data Mining Algorithms and Applications
• On Data Representation and Use in a Temporal Relational DBMS
  isr · 1996 · 인용 2 · Advanced Database Systems and Queries