Patent ID: 11928719
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: IT methods for management (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A computer-implemented method, the method comprising:
obtaining a selection from a user of at least one of a plurality of items in an online catalog;
determining at least one compatible item of the plurality of items in the online catalog at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained to learn joint embeddings between items such that, for a given embedding provided as input, the trend-based machine learning model outputs a similar embedding of an item, and wherein the trend-based machine learning model is trained on historical data associated with at least a portion of the plurality of items in the online catalog and fine-tuned based on current trend data, from multiple data sources, in multiple different modalities;
receiving feedback from the user in response to outputting the at least one compatible item;
identifying one or more attributes related to the at least one compatible item based at least in part on the feedback; and
using the trend-based machine learning model to determine at least one additional compatible item in the online catalog based at least in part on the one or more attributes;
wherein the method is carried out by at least one computing device.