PREDICTING ATTRIBUTE VALUES FOR USER SEGMENTATION

摘要

Method(s) and System(s) for predicting attribute values for user segmentation are described. The method includes segregating a user with an incomplete attribute value for an attribute into a first group, and users with complete attribute values for each attribute into a second group, and computing prior probability for each suggestive attribute value, identified for the incomplete attribute value, based on number of users in second group having the suggestive attribute value as attribute value for the attribute. The method then includes computing likelihood for each suggestive attribute value based on similarity of the attribute values of the user of the first group with users of the second group, and computing a posterior probability for each suggestive attribute value based on the prior probability and the likelihood, and selecting a suggestive attribute value with the highest posterior probability as the attribute value for the incomplete attribute value of the user.