Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for utilizing a content acquisition recommendation system to generating a set of candidate content assets, generate embeddings and popularity score estimates for the set of candidate content assets, aggregate the set of candidate content assets with a set of existing content assets to generate a simulation set of content assets, determine a target set of users for the simulation set of content assets, generate, for at least a portion of the target set of users and based on a trained machine learning model, a result set of recommended content assets, determining an impact of the candidate content assets located in the result set of recommended content assets and generate a proposal for an acquisition of candidate content assets.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction data associated a first set of transaction accounts in a first time period and generating a synthetic control group including a subset of transaction accounts. The method also includes determining, for each transaction account of the synthetic control group, a propensity score representative of a likelihood of said transaction account being associated with a test group, and a predictive spending score for a second time period. The method further includes balancing the synthetic control group and altering at least one operational parameter of a computer-implemented advertisement program to be executed in a second time period based on the transaction data and the synthetic control group. The method further includes executing the computer-implemented advertisement program in the second time period based on the at least one operational parameter that was altered.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction account data and transaction data associated with transactions completed by a first set of transaction accounts with a target merchant. The method also includes generating a synthetic control group including a subset of transaction accounts sampled from the first set of transaction accounts. The method further includes determining, for each transaction account of the synthetic control group, a propensity score. The method further includes assigning an entropy balancing weight to each transaction account of the synthetic control group. The method further includes altering, based on the synthetic control group, at least one operational parameter of a computer-implemented advertisement program to be executed.

Abstract: A system for measuring the difference between a property of a first target and a property of a second target, the system comprising a first member and a second member, wherein the first member comprises a first pattern, and the speed of rotation of the first member is configured to be based on the property of the first target; and the second member comprises a second pattern wherein, the speed of rotation of the second member is configured to be based on the property of the second target, further wherein the first and second pattern are angularly-varying and are configured to generate an interference pattern by their interaction when the first and second members have a relative difference in their rotational speeds, the interference pattern being indicative of the magnitude of this difference.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction account data and transaction data associated with transactions completed by a first set of transaction accounts with a target merchant. The method also includes generating a synthetic control group including a subset of transaction accounts sampled from the first set of transaction accounts. The method further includes determining, for each transaction account of the synthetic control group, a propensity score. The method further includes assigning an entropy balancing weight to each transaction account of the synthetic control group. The method further includes altering, based on the synthetic control group, at least one operational parameter of a computer-implemented advertisement program to be executed.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction account data and transaction data associated with transactions completed by a first set of transaction accounts with a target merchant. The method also includes generating a synthetic control group including a subset of transaction accounts sampled from the first set of transaction accounts. The method further includes determining, for each transaction account of the synthetic control group, a propensity score. The method further includes assigning an entropy balancing weight to each transaction account of the synthetic control group. The method further includes altering, based on the synthetic control group, at least one operational parameter of a computer-implemented advertisement program to be executed.

Abstract: Described are a system, method, and computer program product for generating a synthetic control group. The method includes receiving transaction account data and transaction data associated with transactions completed by a first set of transaction accounts with a target merchant. The method also includes generating a synthetic control group including a subset of transaction accounts sampled from the first set of transaction accounts. The method further includes determining, for each transaction account of the synthetic control group, a propensity score. The method further includes assigning an entropy balancing weight to each transaction account of the synthetic control group. The method further includes altering, based on the synthetic control group, at least one operational parameter of a computer-implemented advertisement program to be executed.