Methods for simultaneous learning of inputs and parameters on machine learning-based recommender systems
R Raziperchikolaei - US Patent 12,141,852, 2024 - Google Patents
The present disclosure relates to a recommender system and method. Unlike known
systems, which learn neural network parameters during training and fix the input vectors, the …
systems, which learn neural network parameters during training and fix the input vectors, the …
Machine learning multiple features of depicted item
Abstract Machine learning multiple features of an item depicted in images. Upon accessing
multiple images that depict the item, a neural network is used to machine train on the …
multiple images that depict the item, a neural network is used to machine train on the …
Reducing sample selection bias in a machine learning-based recommender system
The present disclosure relates to improving recommendations for small shops on an
ecommerce platform while maintaining accuracy for larger shops by retraining a machine …
ecommerce platform while maintaining accuracy for larger shops by retraining a machine …
Machine learning multiple features of depicted item
Abstract Machine learning multiple features of an item depicted in images. Upon accessing
multiple images that depict the item, a neural network is used to machine train on the …
multiple images that depict the item, a neural network is used to machine train on the …
Federated learning for client-specific neural network parameter generation for wireless communication
Various aspects of the present disclosure generally relate to wireless communication. In
some aspects, a client may determine, using a conditioning network and based at least in …
some aspects, a client may determine, using a conditioning network and based at least in …
System, method, and computer program for recommending items using a direct neural network structure
R Raziperchikolaei - US Patent 11,494,644, 2022 - Google Patents
The present disclosure relates to a system, method, and computer program for
recommending products using a neural network architecture that directly learns a user's …
recommending products using a neural network architecture that directly learns a user's …