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27
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Updated on
13/11/2025 [07:42:00]
Results 25 to 27 of 27
Absstract of: WO2025217351A1
Methods, systems, and computer program products for providing global personalized recommendations are provided. An example method may include generating embeddings for a first plurality of entities based on a first dataset, determining first identifiers of the first plurality of entities included in the first dataset that corresponds to second identifiers of a second plurality of entities included in a second dataset to provide a matched set of entities, wherein the second dataset includes attribute data associated with each entity of the second plurality of entities, generating a graph representation of the second plurality of entities, and wherein the graph includes nodes and each node represents an entity of the second plurality of entities, determining one or more first nodes that lacks data associated with a node embedding, and generating data associated with the node embedding for the one or more first nodes using a graph neural network (GNN) machine learning model.
Nº publicación: US2025322233A1 16/10/2025
Applicant:
INTEL CORP [US]
Intel Corporation
Absstract of: US2025322233A1
In an example, an apparatus comprises a plurality of execution units comprising and logic, at least partially including hardware logic, to receive a plurality of data inputs for training a neural network, wherein the data inputs comprise training data and weights inputs; represent the data inputs in a first form; and represent the weight inputs in a second form. Other embodiments are also disclosed and claimed.
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