All Stories

  1. Academic Writing by Using Latex: A Hands-on Workshop
  2. ChatGPT for Teaching and Learning: An Experience from Data Science Education
  3. Multi-Objective Portfolio Optimization Towards Sustainable Investments
  4. Multi-Criteria Ranking by Using Relaxed Pareto Ranking Methods
  5. Multi-Criteria Decision Making and Recommender Systems
  6. A Comparison of Students’ Learning Behaviors and Performance Among Pre, During and Post COVID-19 Pandemic
  7. Pressure Test: Finding Appropriate Data Size for Practice in Data Science Education
  8. FinRec: The 3rd International Workshop on Personalization & Recommender Systems in Financial Services
  9. A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations
  10. DeepCARSKit: A Demo and User Guide
  11. A survey of recommender systems with multi-objective optimization
  12. Non-dominated differential context modeling for context-aware recommendations
  13. Multi-Objective Recommendations
  14. The role of transparency in multi-stakeholder educational recommendations
  15. A Comparison of Tools and Libraries for In-Class Face Detection and Emotion Recognition
  16. Fill Students' Knowledge Gap by Recommending Remedial Learning Materials
  17. SIGITE and SIGCSE Symposiums
  18. Ride-Share Analysis in Boston City
  19. Predictive Staffing Model for Transit Security
  20. Recommendation for Multi-stakeholders and through Neural Review Mining
  21. A Course on Applied AI and Data Science
  22. Exploratory Analysis of Chicago Taxi Rides
  23. A Comparison of Tools for Teaching and Learning Data Analytics
  24. Bikesharing
  25. Multi-stakeholder recommendations
  26. Personalized Educational Learning with Multi-Stakeholder Optimizations
  27. Context-aware recommendations via sequential predictions
  28. Integrating context-awareness and multi-criteria decision making in educational learning
  29. Utility-based multi-criteria recommender systems
  30. Personality-Aware Decision Making In Educational Learning