Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Method and system for making recommendations from binary data using neighbor-score matrix and latent factors

Method and system for making recommendations from binary data using neighbor-score matrix and latent factors

US Patent 10932003 · Granted Feb 23, 2021

Estimated economic value: $243,486,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Co-learning object and relationship detection with density aware loss2025
Configurable pipelines for training and deploying machine learning processes in 2025
Text-conditioned video representation2025
Computing systems and methods for query expansion for use in information retriev2025
Prediction of future occurrences of events using adaptively trained artificial-i2025
Prediction of future occurrences of events using adaptively trained artificial-i2025
Automated image retrieval with image graph2025
Initialization of parameters for machine-learned transformer neural network arch2025
Recommendation with neighbor-aware hyperbolic embedding2025
Generating adaptive textual explanations of output predicted by trained artifici2025
Weakly supervised action selection learning in video2025
Dynamic analysis and monitoring of machine learning processes2024