Abstract:
Methods, systems and programming for measuring user treatment effectiveness. First information related to activities of each user in a first user set in response to a first treatment is received. Second information related to activities of each user in a second user set in response to a second treatment is received. A model with respect to features is obtained based on the first and second information. Each user is associated with the features. A weighing factor for each user is estimated based on the model and each user's features. A first success rate is computed based on the first information and the weighting factors for each user in the first user set. A second success rate is computed based on the second information and the weighting factors for each user in the second user set. A metric of effectiveness is measured based on the first and second success rates.