60 citations · 121 across the 5 of their papers we have counts for
3 papers · 1 filter
On Sampling Collaborative Filtering Datasets
Noveen Sachdeva, Carole-Jean Wu, Julian McAuley
We study the practical consequences of dataset sampling strategies on the ranking performance of recommendation algorithms. Recommender systems are generally trained and evaluated…
Off-policy Bandits with Deficient Support
Noveen Sachdeva, Yi Su, Thorsten Joachims
Learning effective contextual-bandit policies from past actions of a deployed system is highly desirable in many settings (e.g. voice assistants, recommendation, search), since it…
Sequential Variational Autoencoders for Collaborative Filtering
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco +1
Variational autoencoders were proven successful in domains such as computer vision and speech processing. Their adoption for modeling user preferences is still unexplored, although…