A method of reducing a future amount of electronic fraud alerts includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that generates an electronic fraud alert, transmitting the alert to a mobile device of a customer, and receiving from the mobile device customer feedback indicating that the alert was a false positive or otherwise erroneous. The method also includes inputting the data detailing the financial transaction into a machine learning program trained to (i) determine a reason why the false positive was generated, and (ii) then modify the rules-based engine to account for the reason why the false positive was generated, and to no longer generate electronic fraud alerts based upon (a) fact patterns similar to fact patterns of the financial transaction, or (b) data similar to the data detailing the financial transaction, to facilitate reducing an amount of future false positive fraud alerts.

Embodiments of the present invention provide for machine learning-based systems and methods for preventing fraud in programmatic advertising. The systems and methods provide for applying a plurality of machine learning models to data associated with a bid request, determining if the bid request is associated with fraudulent activity as a result of the machine learning models, and selectively preventing the bid request from being provided to potential buyers based on the determination.

Systems and methods are provided for identifying an item that is counterfeit in the marketplace. Sales of counterfeit items in marketplaces, particularly at auction places, have been an issue. There has been a need to automatically detect an item that is counterfeit when a seller submits the item for sale in the marketplace. The disclosed technology receives information about an item for transaction. The information associated with the item includes metadata related to the item and an image of the item. The method uses a database of items that are known to be not for sale (e.g., a stock photo) or is otherwise a counterfeit item. The method matches the data of the item against the data in the database and identifies the item as counterfeit based on the matched result. The matching operation includes analyzing the data (e.g., image analyses using features of the image data). Use of the disclosed technology enables automatic and efficient detection of counterfeit items as a seller submits the item for sale in the marketplace, thereby increasing reliability of the marketplace from buyers' perspective.

A method, system, and computer programming product for checking that clusters representative of transactional activity of a group of persons exhibits sufficient variability including: receiving transactional data; forming clusters from the received transactional data representing groups of persons that behave similarly; determining that a cluster representing a group of persons that behave similarly is not sufficiently variable; and increasing, in response to the cluster representing the group of persons behaving similarly not being sufficiently variable, the variability of the cluster. Further including, in an embodiment, creating a superset cluster consisting of both the cluster and the parent of the cluster; creating test data using the superset as a baseline; injecting the test data into the superset cluster; determining if the superset cluster rejects the injected test data as an indication of insufficient variability.

There is provided herein a technical solution to the technical problem of being able to obtain proof-of-play and display timing data despite not being able to access or modify the display controller software of digital display devices of outdoor advertising networks which entails transmitting hypertext marked-up image display data files to digital displays which comprise client-side code and a resource locator. As such, when each display data file is displayed by the digital display the web-capable display controller thereof executes the client-side code to transmit proof-of-play tracking data to the resource locator and which may periodically transmit timing data until the instantiation of the client-side code is destroyed by the display controller. Aspects are also provided herein for being able to achieve sub second resolution and account for data transmission errors.

A method, product and system are provided for determining estimated quality scores in digital content distribution systems. The method comprises, based on monitoring of engagements and conversions, determining a segment-specific estimated quality score of a given traffic; determining an observation-based pair-specific quality score for the given traffic and for a specific campaign; and determining, based on the segment-specific estimated quality score and based on the observation-based pair-specific quality score, a pair-specific estimated quality score of the specific campaign for the given traffic segment indicating an estimated quality score of the specific campaign when presented in the given traffic segment.

Parallelized computation by a real-time transaction scoring system that incorporates global behavior profiling of transacting entities includes dividing a global profile computing component of a transaction scoring model of a real-time behavioral analytics transaction scoring system into a plurality of global profile component instances. The transaction scoring model uses a plurality of global profile variables, each of the plurality of global profile component instances using its own global profile partition that contains the estimate of global profile variables and being configured for update by a dedicated thread of execution of the real-time transaction scoring system, each dedicated thread being configured for receiving and scoring a portion of input transactions. The method further includes partitioning, based on one or more transaction routing shuffling algorithms, the input transactions for receipt across the plurality of global profile component instances, and updating each of the plurality of global profile partitions by the corresponding global profile component running in the dedicated thread according to the scoring algorithm.

A blockchain-based digital advertising and marketing platform for Casinos, Lottery, and iGaming Operators which generally includes a private blockchain upon which both a supply-side platform and a demand-side platform along with a dynamic content generator software to operate using artificial intelligence and machine learning, business intelligence software and search engine technology, to provide an advertising rules service, gamified product offers, coupons and mailers utilizing augmented reality or virtual reality, an interactive game wall, connected to hardware and software interfaces of casino and lottery operators.

A content stake offering system is disclosed. The content stake offering system includes a content stake offering module, comprising computer-executable code stored in non volatile memory, a processor, and a plurality of computing devices. The content stake offering module, the processor, and the plurality of computing devices are configured to receive a request to sell a stake of content, determine a value of the content, generate a stake offering based on the value of the content, and update the value of the content. Determining the value of the content includes transferring data of a piece of content between the plurality of computing devices, recording a content data, which corresponds to the transferred data of the piece of content, in a database chunk, hashing the database chunk into a hashed database chunk, and appending the hashed database chunk to a block on a blockchain.

Disclosed is a system and method for associating endorsers with articles on by querying a smart contract on a blockchain. The invention establishes an assessor account for an assessor in an assessment database. The assessor account includes assessment attributes of an assessor. An article record is established for an article in the smart contract on a blockchain. The article record includes a URI, an article status from said assessor, and an association between the article record and the assessor account. The system responds to a request from an article viewer in which the request includes the URI of the article by querying the smart contract, determining if the URI supplied is associated with an article record, and if so, returning to the article viewer a response that includes the article status.