2 papers
cs.IR2026
On the Convergent Validity of Offline Evaluation Designs for Recommender Systems
Sushobhan Parajuli, Samira Vaez Barenji, Michael D. Ekstrand
Offline evaluation on historical interaction logs is the most common evaluation methodology for recommender systems. However, such evaluations depend on sparse, incomplete, or bias…
cs.IR2025
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation
Samira Vaez Barenji, Sushobhan Parajuli, Michael D. Ekstrand
Data is an essential resource for studying recommender systems. While there has been significant work on improving and evaluating state-of-the-art models and measuring various prop…