A method of enhanced hybrid quantum-classical computing mechanism for solving optimization problems is disclosed comprising altering a value of a configuration chromosome by storing an angle memory on a shared classical memory. The angle memory corresponds to a predefined configuration chromosome. The method then generates a state vector based on the angle memory and reinitializes a quantum circuit from the state vector. Subsequently, generating at least two most probable configuration chromosome from the reinitialized quantum circuit corresponding to a superposition of qubits in a position chromosome. Subsequently selecting one of the at least two most probable configuration chromosomes for each position chromosome after evaluation by a fitness function.

A system and method for providing and synthesizing data for publishers operating in the connected television ecosystem. Data from third party reporting platforms may be combined to present a unified view. Audience engagement may be measured, observed, and combined in a novel manner, providing unique insights to users.

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.

A method for interpreting messages, user-defined alert conditions, voice commands and performing an action in response is described. A method for annotating media content is described. A method for presenting additional content associated with media content identified based on a fingerprint is described. A method for identifying that an advertisement portion of media content is being played based on a fingerprint derived from the media content is described. A method of one media device recording particular media content automatically in response to another media device recording the particular media content is described. A method of concurrently playing media content on multiple devices is described. A method of publishing information associated with recording of media content is described. A method of deriving fingerprints by media devices that meet an idleness criteria is described. A method of loading, modifying, and displaying a high definition frame from a frame buffer is described. A method of recording or playing media content identified based on fingerprints is described.

A computer-implemented system including a data store: a content items database, a user account database, and one or more servers configured to execute a computer program to perform one or more of the following: receiving content items from content database that are associated with a topic selected by a user for posting on a social network, wherein at least one content item is associated with an URL; estimating a post to a reaction filter for a time interval for the social network for the user, calculating a reaction profile associated with reactions to posts on the social network by aggregating reaction time of a plurality of users on the social network for one or more content items posted on the social network; determining a schedule for posting the content items on the social network as a function of the post to reaction filter and reaction profile.

The present disclosure provides for management of impressions in advertisement campaigns. Impressions may be moved between different impression media based on performance metrics and historical data. Impression budgets may be modified in an active campaign based on forecasts determined using current performance data. Impression budgets may be reallocated between simultaneously active advertisement campaigns.

Disclosed are methods, systems, and non-transitory computer-readable medium for targeting bid and position for a keyword. For instance, the method may include obtaining information about the keyword, the information about the keyword including observations of value with respect to position for the keyword. The method may further include applying a Gaussian Process Model on the observations to obtain a prediction function and associated uncertainties, the prediction function and the associated uncertainties relating positions to expected values; applying a Thompson sampling reinforcement learning model on the expected values and the positions to obtain a target position; and applying a bid model to the target position to obtain bid information for the keyword. The method may also include transmitting a bid message to a search engine, the bid message including the bid information.

A method for providing survey consumer data to a centralized server via a consumer panel application is provided. The method includes receiving in a server, from an application installed in a mobile device of a consumer, a transaction data linking a consumer identification with a selected retailer and associating a consumer segment with the transaction data based on a demographic attribute shared between a server account for the consumer and the consumer segment. The method also includes determining a sales lift factor for the consumer segment based on an adjustment factor and the transaction data, and updating a scalable measurement protocol in the application installed in the mobile device of the consumer based on the sales lift factor. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

A data processing method includes: obtaining an advertisement state of each candidate advertisement corresponding to a current exposure request and an overall state of an advertising platform in response to the current exposure request; determining, by a classification network in a scoring model, probability of each candidate advertisement belonging to different reference advertisement types; determining, by a scoring network in the scoring model, a competition score of the candidate advertisement for the current exposure request according to the advertisement state corresponding to the candidate advertisement and the overall state based on the probability of the candidate advertisement belonging to different reference advertisement types, the scoring model including multiple scoring networks corresponding to different reference advertisement types; and determining a target advertisement exposed by the current exposure request according to the competition score of each candidate advertisement for the current exposure request.

Systems and methods described herein may generate campaigns and efficiently calculate bids for placement of campaign data into Internet data. Embodiments may calculate context scores for campaign data based on campaign terms and beacon terms. The context scores may be used to identify Internet content that has a high page score. If the page score of particular Internet content exceeds a predetermined threshold, the system may place a bid for a campaign based on disclosed algorithms taking as inputs performance scores, context scores, page scores, campaign budgets, and other parameters. The systems therefore are capable of quickly and effectively calculating optimal bids to place for a particular campaign given parameters disclosed herein.