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Data Skeptic
VetenskapTeknologi

Recommender Systems Live from FARCON 2017

46 min•15 september 2017

Recommender systems play an important role in providing personalized content to online users. Yet, typical data mining techniques are not well suited for the unique challenges that recommender systems face. In this episode, host Kyle Polich joins Dr. Joseph Konstan from the University of Minnesota at a live recording at FARCON 2017 in Minneapolis to discuss recommender systems and how machine learning can create better user experiences. 

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Book Ratings and Recommendations
•39 min
Disentanglement and Interpretability in Recommender Systems
•31 min
Collective Altruism in Recommender Systems
•55 min
Niche vs Mainstream
•34 min
Healthy Friction in Job Recommender Systems
•27 min
Fairness in PCA-Based Recommenders
•50 min
Video Recommendations in Industry
•38 min
Eye Tracking in Recommender Systems
•52 min
Cracking the Cold Start Problem
•40 min
Designing Recommender Systems for Digital Humanities
•37 min

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