Aspects of the present disclosure relate to management of evaluated rule data sets. Specifically, a unreduced evaluated rule data set may contain a number of items to be compared or analyzed according to a number of rules, and may also contain the results of such analysis. An illustrative reduced evaluated data set can include the results of evaluated rules. When utilized in conjunction with an item data set and a rule data set, the information contained within the unreduced evaluated rule data set may be maintained. The reduce memory requirements of the reduced evaluated rule data set may facilitate storage of the reduced evaluated rule data set in faster to access memory, or may facilitate distributed computation of the reduced evaluated rule data set.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method comprising: receiving an item combination data set including a plurality of item combination identifiers, wherein individual item combination identifiers correspond to at least two data items of a plurality of data items to be evaluated according to a set of conditions; receiving an evaluation condition data set including a plurality of condition identifiers, wherein individual condition identifiers correspond to at least one condition of the set of conditions; selecting an item combination identifier and a condition identifier for evaluation; evaluating the at least two data items corresponding to the item combination identifier based at least in part on the at least one condition corresponding to the condition identifier, wherein the at least two data items are determined based at least in part on the item combination data set, and wherein the at least one condition is determined based at least in part on the evaluation condition data set; generating a resultant data set comprising the item combination identifier, the condition identifier, and a result of the evaluation; and transmitting the resultant data set to at least one computing device configured to utilize the resultant data set in connection with implementation of a machine learning algorithm.