公开(公告)号：US20240249296A1

公开(公告)日：2024-07-25

申请号：US18158597

申请日：2023-01-24

Applicant: The Boston Consulting Group, Inc.

Inventor： Davide Guatta ,  Alex Bergamasco

IPC: G06Q30/0201

CPC classification number: G06Q30/0201

Abstract: Described is a recommender engine where a first plurality of customers prospects is exposed to a second plurality of potential actions, the recommender engine filters tuples of customers and actions according to one or more applied business rules, generates features that identify a primary key that characterizes a specific feature to determine a minimum level of representation to eliminate redundancy, the feature generator executes a feature calculation to fit feature values per each primary key that are computed to subsequently reconstruct the feature per each primary key, transforms the features to return the feature values according to a number of primary keys that needs to be fetched, composes a feature matrix that includes a portion of the primary keys that needs to be fetched, scores the portion of the primary keys from feature matrix, and issues recommendations for tuples of customers and actions according to the feature matrix.