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Book Readership During Movie Releases: An Exploratory Analysis
Sushobhan Parajuli, Vittoria Vineis, Samira Vaez Barenji +1
Exogenous events can temporarily change the relevance of items in recommender systems, but these shifts are often not visible in historical interaction data until after users have…
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…
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…
Managing multi-facet bias in collaborative filtering recommender systems
Samira Vaez Barenji, Saeed Farzi
Due to the extensive growth of information available online, recommender systems play a more significant role in serving people's interests. Traditional recommender systems mostly…