A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

In an example, sets of event information associated with events may be identified. The events may include intentional click events, accidental click events and/or skip events. Accidental click probabilities associated with the accidental click events and/or the skip events may be determined. Machine learning model training may be performed, using the sets of event information associated with the events and labels associated with the events, to generate a first machine learning model. The labels may include second labels associated with the intentional click events and/or third labels associated with the accidental click events and/or the skip events. The second labels may correspond to an intentional click classification. The third labels may be based upon the accidental click probabilities. Click probabilities associated with content items may be determined using the first machine learning model. A content item may be selected for presentation via a client device based upon the click probabilities.

Methods and systems for content management are described. If programming content is distributed to viewers, signals are transmitted with the programming content to indicate a segmentation in the programming content. If a user device sees the signal indicating the advertisement break, the use device may make a request to an advertisement server. The advertisement server may receive the request and determine an identifier associated with the request and an identifier associated with an advertisement break. A binder may bind the identifier associated with the request and the identifier associated with the advertisement break.

An automated system configured for streamed contents, to be self-aware in preventing fraudulent tactics, during real-time and offline usages, while communicating with its owner for accurate decision making, comprising: a content player module, and a content streaming service module; configured using a codec module to embed logic, encryptions, heuristics data, associated meta data, and management data into the content format; configured to use symmetric encryption keys, public keys, biometrics, and payload data; configured to authenticate the user and content owner; configured to request, receive, send, stream content, and analytics through a secure communication; configured to provide secure virtual communications between users and content owners; configured to use a call-home data, to enable the content and content owner to communicate and update one another securely; Configured to provide real-time, and offline, fraud prevention heuristics using artificial intelligence.

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.

The presently disclosed subject matter aims to provide a system and method for detecting potential ad frauds by determining color content resemblance of at least one pixel of an ad media displayed within at least one given placement on a plurality of user devices, and a desired color of the at least one pixel.

Described is a computer implemented method for determining provenance and identity of a digital advertising request for an advertisement solicited by at least one of a publisher and an intermediary representing the publisher. The method includes receiving, with a transceiver of a first computing device, a first message having first message metrics associated with a candidate entity for identification. The first message is processed, with a processor of the first computing device, to identify a first portion of a candidate entity identity based on the first message metrics. An output related to confidence of the candidate entity identity is produced, with the processor, based on the first portion of the candidate entity identity.

Embodiments of the present invention provide systems, methods, and computer storage media directed to a proof and attestation service that can confirm the veracity of a claim or a statement of truth based on data dynamically-retrieved from various data repositories. A server device receives, from a client device, a request to determine the veracity of a claim or a statement of truth. The server device is generally a trusted computing device, having privileged-access to a variety of data repositories that the client device may or may not access. The server device can select one or more data repositories based on the claim, obtain results data from the selected one or more data repositories, and evaluate each result to determine whether it corresponds to or contradicts the claim. A veracity score can be calculated for the claim or for a result that corresponds to or contradicts the claim. The server device can generate an attestation notification that includes the claim or the result for communication to the requesting client device. In this way, the client device can utilize the proof and attestation service, facilitated via the server device, to determine a claim's veracity or its calculated likelihood of being true.

This disclosure relates to a method for recognizing multimedia content. The method includes: obtaining target text information and content information in a video; performing text recognition processing on the content information to obtain associated text information; when the original text information or the associated text information meets a first malicious promotion condition, obtaining a target text classification result by a text classification model; and determining a video recognition result corresponding to the video according to the target text classification result.

The present invention is to provide a computer system, and a method and a program for managing an advertising medium that easily identify an advertising medium. The computer system for managing an advertising medium outputs an identification image embedding the identification information of the advertising medium to the advertising medium, analyzes the shot image of the advertising medium outputting the identification image and reads the identification information of the advertising medium, and registers the identification information in a database.