MACHINE LEARNING MODEL FOR ASSOCIATING ITEMS

Abstract

System and techniques may be used for determining anomalous item pairs using machine learning. An example technique may include obtaining a list of items for sale, constructing a dataset of pairs of items including each possible item pair of items in the list of items for sale, and extracting a plurality of sets of pairwise measures for each pair of the pairs of items in the dataset, the plurality of sets of pairwise measures including a plurality of pairwise measures for each pair of the pairs of items in the dataset. The example technique may include determining a set of anomalous item pairs of the pairs of items using an anomaly detection model based on the plurality of sets of pairwise measures, and outputting the set of anomalous item pairs as associated items.

CPC Classifications