Abstract: A computer implemented method for determining object compatibility includes obtaining a first data set, a second data set, and a first compatibility model. The method also includes determining, by the compatibility system, error instances in the second data set by applying the first compatibility model to the second data set. The method further includes determining, by the compatibility system, labeling rules based on the error instances, and determining a third data set by applying the labeling rules to the first data set. The method also includes determining, by the compatibility system, a second compatibility model based on the third data set and determining an ensemble compatibility model based on the first compatibility model and the second compatibility model. The method further includes determining, by the compatibility system, a product recommendation based on the ensemble compatibility model and a user selection of a first product.

Abstract: A method for determining a user experience for an electronic user interface includes defining a test period for testing two or more versions of an electronic user interface, receiving, from each of a plurality of users during the test period, a respective request for the electronic user interface, determining, for each of the plurality of users, a respective version of the two or more versions of the electronic user interface by maximizing test power during the test period while maintaining higher in-test rewards than an A/B test or maximizing the rewards during the test period while maintaining a test power no worse than an A/B test, and causing, for each of the plurality of users, the determined version of the electronic user interface to be delivered to the user.

Abstract: A computer-implemented method includes extracting, by one or more processors of one or more computing devices, a product family name from each of a plurality of unstructured product titles associated with a plurality of products. The method further includes determining, by the one or more processors, a degree of similarity between model numbers of the plurality of products. The method further includes determining, by the one or more processors, that at least two of the plurality of products are variants of one another by determining that the at least two of the plurality of products have a same extracted product family name and determining that the degree of similarity between the model numbers of the plurality of products is above a predetermined threshold.