105 citations · 108 across the 4 of their papers we have counts for
4 papers
Breaking the Loop: An Empirical Comparison of Strategies for Novelty and Freshness in YouTube Music
Srivaths Ranganathan, Zihuan Diao, Bernardo Cunha +7
Continuously trained ranking models in music recommenders fall into feedback loops where previously consumed items dominate recommendations. This suppresses two distinct content cl…
GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning
Huseyin Coskun, Alireza Zareian, Joshua L. Moore +2
Clustering is a ubiquitous tool in unsupervised learning. Most of the existing self-supervised representation learning methods typically cluster samples based on visually dominant…
Hashing Algorithms for Large-Scale Learning
Ping Li, Anshumali Shrivastava, Joshua Moore +1
In this paper, we first demonstrate that b-bit minwise hashing, whose estimators are positive definite kernels, can be naturally integrated with learning algorithms such as SVM and…
b-Bit Minwise Hashing for Large-Scale Linear SVM
Ping Li, Joshua Moore, Christian Konig
In this paper, we propose to (seamlessly) integrate b-bit minwise hashing with linear SVM to substantially improve the training (and testing) efficiency using much smaller memory,…