In one aspect, a request for web content is received from a user device communicatively coupled to the processing device via the network. In response to receiving the request, user information associated with the user is determined. Predicted responses of the user to each variation of a plurality of variations of the web content are determined using prediction models and the user information. The prediction models include one or more decision trees generated using a splitting criterion requiring a minimum number of positive responses to a variation and a minimum number of negative responses to the variation as a condition of considering the possible split. The variation determined to have a threshold likelihood of yielding a predicted positive response of the predicted responses is selected based on the user information. The variation is transmitted to the user device via the network.

Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products that provide for an improved and more efficient system for transmitting content to client devices. The embodiments disclose an apparatus that clusters user behavior based on platform session records. The platform session records comprise stored data associated with a plurality of user inputs received by the system for the duration of a platform session. The apparatus and methods transform the platform session records into data comprising a form that is usable for identifying clusters of platform sessions. As a result of the clustering methodologies, the apparatus is configured to deliver content specifically optimized for users of client devices. The present disclosure thus provides for an improved networked system that reduces the amount of data transferred via the network and allows for a more efficient system that has reduced infrastructure requirements and improved performance.

A method and a device for displaying a commodity advertisement, and a computer-readable storage medium. The method for displaying a commodity advertisement includes: obtaining object attribute information of one or more display objects of a display terminal who view a commodity advertisement, the object attribute information including at least gender information of each display object and display object quantity information corresponding to each gender; determining a first display object according to the obtained object attribute information, and selecting, according to the first display object, a first advertisement from a first category of commodity advertisements for display; and obtaining distance information between at least one display object and a preset target during displaying the first advertisement, and determining, according to the distance information, whether to select a second advertisement from a second category of commodity advertisements for display. The first advertisement and the second advertisement are advertisements of a same commodity.

Systems, methods and articles for providing optimized scheduling of a log of spots to be delivered to consumers. The optimized scheduling allows content providers to autonomously satisfy contracts and increase revenue. An audience delivery optimizer system receives an initial log, generates an optimized log, and returns the optimized log so that content can be delivered to consumers according to the optimized log. The audience delivery optimizer system may use historical ratings data and may implement an algorithm to accurately project future delivery. The audience delivery optimizer system may evaluate and optimize a log that spans a particular period of time, such as a day, a week, a month, etc. The audience delivery optimizer system may evaluate over-performing contracts and under-performing contracts and may then optimize the placement of spots based on such evaluations. The audience delivery optimizer system may track liability or other metrics over determined periods (e.g., quarterly).

A system and method is provided for determining a portfolio of promotions from across a diverse mix of promotion categories. The diverse promotion portfolio may represent an inventory of promotions that are available for presenting to a consumer in a particular market. Also, a system and method is provided for determining a diverse group of promotions for presenting to a consumer. The diverse group of promotions may be determined based on whether a same or similar promotion was previously presented to the consumer.

Candidate brands are identified for an ad clip of a query video advertisement using two different techniques. Optical character recognition (OCR) is performed on a thumbnail of a plurality of different video ads in a curated database that includes brand-identifying metadata. In one technique, text vectorization is performed for each brand using all of the text that is extracted from each of the thumbnails for each brand, thereby providing a numerical brand embedding for each brand, a similar text vectorization is performed on the query video ad, and then a comparison is made between the embeddings to identify highest-ranking candidate brands based on brand-level identification. In another technique, a transformer-based model generates numerical embeddings for each ad clip in the curated database, and a comparison is made to these clip-based numerical embeddings to identify highest-ranking candidate brands based on clip-level identification. The results of the two techniques are combined together to provide one or more overall highest-ranking candidate brands.

An operating system for discovering, generating, closing a content deal between various teams, measuring content effectiveness and distributing content, for example for product placement advertising. The operating system allows publishers and advertisers to communicate quickly over a single operating system, generate custom line items, media plans, pitches, requests for proposals, and other content, buy and sell content, and drive related workflows and documentation. Workflows are performed on a single operating system and platform. The platform is permission based, and allows a single platform that can be customized and scaled by both publishers and advertisers. Data, documents, media plans, and other content can be created and managed by the operating system.

The embodiments disclose an apparatus including at least one wearable with a plurality of sensors configured to measure physiological signals of the user, an app on a user smart phone wirelessly coupled to the wearable configured for receiving and forwarding wearable measured physiological signals, a digital network cloud platform wirelessly coupled to the app configured for receiving and processing the measured physiological signals, at least one machine learning device coupled to the digital network cloud platform configured for analyzing the measured physiological signals, at least one artificial intelligence device coupled to the at least one machine learning device configured for determining indications of user well-being conditions, at least one computer coupled to the at least one machine learning and artificial intelligence device configured to transmit well-being conditions indications to the digital telepathy app on the user smart phone, and transmit the well-being conditions indications to persons selected by the user.

This paper presents a practical method for measuring the impact of multiple marketing events on sales, including marketing events that are not traditionally trackable. The technique infers which of several competing media events are likely to have caused a given conversion. The method is tested using hold-out sets, and also a live media experiment for determining whether the method can accurately predict television-generated web conversions.

A system tracks user actions associated with advertisements. The system may receive information in response to a user action. The system may then determine whether the action performed by the user resulted from an advertisement.