Abstract: Embodiments relate to automatic determination of a directed spend program eligibility for items offered by retailers associated with an online system. The online system provides inputs into a computer model, where the inputs include information about at least one property for each candidate item in a set of candidate items and at least one requirement for a directed spend program. The online system applies the computer model to generate, based on the inputs, an output that comprises an indication of an eligibility for each candidate item in the set for the at least one directed spend program. The online system sends a message causing a device of a user of the online system to display a user interface including an option for the user to add into a cart at least one of the candidate items determined to be eligible for the directed spend program.

Abstract: An online system determines whether to recommend a replacement item to a user based on a predicted sentiment score. The online system receives one or more comments from user feedback on the replacement items. The online system generates a prompt for each user comment for input to a machine-learned model. The online system generates a sentiment score for the ordered item and a replacement item based on the inferred sentiments by the model serving system. Using the sentiment score, the online system determines whether to recommend the replacement item.