Nec Corporation

Daniel Onoro Rubio

Mathias Niepert

Roberto Gonzalez Sanchez

Alberto Garcia Duran

A method for generating a product recommendation in a retail system includes collecting a dataset containing a plurality of entities and attributes for the entities. Relationships between the plurality of entities are generated. The plurality of entities, attributes and relationships are stored in a knowledge graph. A representation of the plurality of entities, attributes and relationships stored in the knowledge graph is learned. Zero-shot learning is performed for a new entity and attributes for the new entity. The new entity and attributes for the new entity are stored in the knowledge graph. A recommendation for a user is generated based on the knowledge graph.

Method and system for multimodal recommendations

A method for providing recommendations to users includes obtaining stored data structure triples and actual ratings associated with the data structure triples; training a machine learning model using the stored data structure triples and associated actual ratings, wherein training the machine learning model includes generating user, product, and review representations based on the stored data structure triples and their associated ratings; predicting, by the machine learning model, ratings using the generated user, product, and review representations; and making recommendations based on the predicted ratings.

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Heidelberg, Germany

Daniel Onoro Rubio