CPC G06Q 30/0609 (2013.01) [G06Q 30/0617 (2013.01)] | 20 Claims |
1. A method, comprising:
receiving, by a device, user preference data;
processing, by the device, third-party boycott data and the user preference data, with a machine learning model trained using a particular feature set, to identify a boycott that is predicted to be of interest to a user,
wherein the particular feature set is generated based at least in part on performing dimensionality reduction of historical third-party boycott data and historical user preference data, and
wherein the machine learning model applies a classification technique to the particular feature set to determine an output to associate boycotts to users that are predicted to have an interest in the boycott;
determining, by the device, that the user desires to join the boycott; and
performing, by the device, one or more actions based on determining that the user desires to join the boycott.
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