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

Claim 19:
20. A system comprising:
a memory configured to store program instructions;
a processor operatively coupled to the memory to execute the program instructions to:
obtain a selection from a user of at least one of a plurality of items in an online catalog;
determine 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;
receive feedback from the user in response to outputting the at least one compatible item;
identify one or more attributes related to the at least one compatible item based at least in part on the feedback; and
use 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.