Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform: generating linkage scores between nodes at least based on a machine learning model; creating links between the nodes to form connected components based on the linkage scores exceeding a predetermined threshold; generating an actual matching linkage set of the nodes linked in the connected components by using a relaxed blocking criteria; and generating a quality score for the connected components. Other embodiments are disclosed.

Abstract: In some examples, a system may, obtain constraint data and customer profile data of a plurality of customers associated with the system. Moreover, for each customer of the plurality of customers, the system may, based on the customer profile data of the customer and the constraint data, generate a score associated with one or more constraints of the plurality of constraints, based on the score of each of the one or more constraints, generate an overall score, and associate the overall score with a customer profile of the customer. Further, the system may, implement operations that generate a clean dataset based on the overall score associated with a customer profile of each of the plurality of customers.

Abstract: The present invention extends to systems, methods, and computer program products for recommending food items based on personal information and nutritional content. A registered customer has members in a customer group. The registered customer provides nutritional information for members of the group (e.g., family members) to a merchant computer system. The merchant computer system uses the nutritional information to recommend food items to the customer. As a customer shops, the merchant computer system compares the nutritional content of the shopping cart items with nutritional needs of the customer. Recommendations are furnished to the customer based on the shopping cart content and the nutritional needs of the customer.

Abstract: The present invention extends to systems, methods, and computer program products for recommending food items based on personal information and nutritional content. A registered customer has members in a customer group. The registered customer provides nutritional information for members of the group (e.g., family members) to a merchant computer system. The merchant computer system uses the nutritional information to recommend food items to the customer. As a customer shops, the merchant computer system compares the nutritional content of the shopping cart items with nutritional needs of the customer. Recommendations are furnished to the customer based on the shopping cart content and the nutritional needs of the customer.