Multi-tenant, metadata-driven recommendation system
A method for generating a model for recommendations from an item data set for a target data set includes embedding a set of targets from the target data set in a shared coordinate space using a first embedding function, embedding a first set of items from the item data set in the shared coordinate s...
Saved in:
Main Authors | , , , , |
---|---|
Format | Patent |
Language | English |
Published |
14.05.2024
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Summary: | A method for generating a model for recommendations from an item data set for a target data set includes embedding a set of targets from the target data set in a shared coordinate space using a first embedding function, embedding a first set of items from the item data set in the shared coordinate space using a second embedding function, selecting at least one target from the set of targets, and identifying a second set of items from the first set of items that are proximate to the at least one target as candidates from the recommendations. |
---|---|
Bibliography: | Application Number: US202117496615 |