Trained model for automatically determining directed spend program eligibility

A computer program product comprising a non-transitory computer readable storage medium having instructions encoded thereon that, when executed by a processor, cause the processor to perform steps comprising:

• training a set of parameters of a machine-learning model of an online system using a dataset of items and information about a directed spend program eligibility status for each item in the dataset so that the machine-learning model is trained to associate information about each item in the dataset with the directed spend program eligibility status and to develop a set of rules for determining an eligibility of one or more new items for a plurality of directed spend programs;
• obtaining a plurality of inputs for the machine-learning model, the plurality of inputs comprising information about at least one property for each candidate item in a set of candidate items and a plurality of requirements for the plurality of directed spend programs;
• applying the machine-learning model to generate, based on the plurality of inputs, an indication of an eligibility for each candidate item in the set of candidate items for each of the plurality of directed spend programs;
• responsive to the indication of the eligibility generated by the machine-learning model for one or more items from the set of candidate items for a directed spend program of the plurality of directed spend programs, associating the one or more items with the directed spend program;
• responsive to associating the one or more items with the directed spend program, generating an icon for displaying at a user interface of a device associated with a user of the online system, the icon including information about the directed spend program and a functionality for displaying a detailed view of each of the one or more items;
• responsive to generating the icon, generating the user interface that displays the icon;
• responsive to an engagement by the user with the icon, generating an updated version of the user interface that displays the detailed view of each of the one or more items with an option for the user to order each of the one or more items;
• and
• re-training the machine-learning model by updating, responsive to and based on information about one or more new candidate items and a change in one or more requirements of the plurality of requirements for one or more directed spend programs of the plurality of directed spend programs, the set of parameters of the machine-learning model.

A computer system comprising:

• a processor;
• and
• a non-transitory computer-readable storage medium having instructions that, when executed by the processor, cause the computer system to perform steps comprising:
• training a set of parameters of a machine-learning model of an online system using a dataset of items and information about a directed spend program eligibility status for each item in the dataset so that the machine-learning model is trained to associate information about each item in the dataset with the directed spend program eligibility status and to develop a set of rules for determining an eligibility of one or more new items for a plurality of directed spend programs;
• obtaining a plurality of inputs for the machine-learning model, the plurality of inputs comprising information about at least one property for each candidate item in a set of candidate items and a plurality of requirements for the plurality of directed spend programs;
• applying the machine-learning model to generate, based on the plurality of inputs, an indication of an eligibility for each candidate item in the set of candidate items for each of the plurality of directed spend programs;
• responsive to the indication of the eligibility generated by the machine-learning model for one or more items from the set of candidate items for a directed spend program of the plurality of directed spend programs, associating the one or more items with the directed spend program;
• responsive to associating the one or more items with the directed spend program, generating an icon for displaying at a user interface of a device associated with a user of the online system, the icon including information about the directed spend program and a functionality for displaying a detailed view of each of the one or more items;
• responsive to generating the icon, generating the user interface that displays the icon;
• responsive to an engagement by the user with the icon, generating an updated version of the user interface that displays the detailed view of each of the one or more items with an option for the user to order each of the one or more items;
• and
• re-training the machine-learning model by updating, responsive to and based on information about one or more new candidate items and a change in one or more requirements of the plurality of requirements for one or more directed spend programs of the plurality of directed spend programs, the set of parameters of the machine-learning model.