3 citations · 4 across the 2 of their papers we have counts for
3 papers
Embedding models for recommendation under contextual constraints
Syrine Krichene, Mike Gartrell, Clement Calauzenes
Embedding models, which learn latent representations of users and items based on user-item interaction patterns, are a key component of recommendation systems. In many applications…
Understanding Group Event Scheduling via the OutWithFriendz Mobile Application
Shuo Zhang, Khaled Alanezi, Mike Gartrell +3
The wide adoption of smartphones and mobile applications has brought significant changes to not only how individuals behave in the real world, but also how groups of users interact…
Low-Rank Factorization of Determinantal Point Processes for Recommendation
Mike Gartrell, Ulrich Paquet, Noam Koenigstein
Determinantal point processes (DPPs) have garnered attention as an elegant probabilistic model of set diversity. They are useful for a number of subset selection tasks, including p…