Systems and methods for entity detection using artificial intelligence, including: a deep learning model service configured to: select and analyze a set of frames from a media item to determine a set of candidate brand-probability pairs; a voting engine configured to: determining that a first brand-probability pair of a set of candidate brand-probability pairs based on at least one obtained hyperparameter value does not meet a threshold for determining whether candidate brand-probability pairs are to be included in a result set; excluding the first brand-probability pair from the result set based on the determination; sorting the result set; and selecting at least one final brand-probability pair from the result set; and an offline transcoding service configured to: store the final brand-probability pair in a repository with a relation to an identifier of the media item.

Advertisement user feedback data may be collected and provided to an advertisement decision engine. Advertisements may be presented to users via various electronic media such as digital television, Internet, software, etc., and advertisement feedback user interfaces may be provided to users in connection with such advertisements. An advertisement feedback user interface may be provided via the same electronic medium and device as the corresponding advertisements, or via a different electronic medium and/or device. User feedback data regarding electronic advertisements, as well as additional related data, may be received and provided to one or more advertisement decision engines. An advertisement decision engine may use the advertisement user feedback data to determine a future advertisement to be presented to one or more users at an advertisement insertion opportunity identified in one or more various electronic media.

The MOBILE CONTENT TRACKING PLATFORM METHODS (Mobile-Track) transforms TV program schedule listing information and user channel selection via Mobile-Track components, into TV audience viewing data and ad effects data. A method is disclosed, comprising: obtaining TV program schedule listing data; providing the obtained TV program schedule listing data to a user mobile device; receiving an indication of user channel selection; determining a media program associated with the received indication of user channel selection; determining an ad associated with the determined media program; providing a survey question related to the determined ad to the user mobile device; and receiving a user response to the survey question.

Embodiments of the present disclosure provide mechanisms for selection of a user survey data object from a set of user data objects, and processing of survey engagement data associated with a selected user survey data object. The user survey data object selected is appropriate for providing associated with a particular user data object, and the survey engagement data received associated therewith enables programmatic selection and use of particular ranking model(s) for use in generating and providing an output ranked item data object set. Example embodiments utilize selected ranking model(s) of a set of ranking models to programmatically generate and output an output ranked item data object set for a particular user profile.

This disclosure provides aspects and embodiments of methods, services, and platforms for prompting users with a zero account balance to send a callback message to a contact informing the contact that the user cannot call them and asking the contact to call the user. This disclosure further provides location determining platforms and rewards platforms for users.

The present disclosure relates to digital experience development platforms and, more particularly, one or more components, systems and methods thereof of an intelligent digital experience development platform (IDXDP) configured to assist different users in the development, design and deployment of digital applications. A computer-implemented method includes: receiving, by a computing device of a registration system, a request from an external third party vendor to connect to an administrative portal of the computing device; assigning, by the computing device, the third party vendor a unique identifier in response to the request, wherein the unique identifier enables end users to communicate with the third party vendor through the registration system; and enabling, by the computing device, interactions between the end users and the third party vendor via the administrative portal.

Methods, systems, apparatus, and articles of manufacture to determine causal effects are disclosed herein. An example apparatus includes a weighting engine to calculate a first set of weights corresponding to a first treatment dataset, a second set of weights corresponding to a second treatment dataset, and a third set of weights corresponding to a control dataset, the weighting engine to increase an operational efficiency of the apparatus by calculating the first set of weights, second set of weights, and third set of weights independently, a weighting response engine to calculate a first weighted response for the first treatment dataset, a second weighted response for the second treatment dataset, and determine a causal effect between the first treatment dataset and the second treatment dataset based on a difference between the first weighted response and the second weighted response, and a report generator to transmit a report to an audience measurement entity.

An embodiment provides employing chatbots with graphicons for survey method and system. The method includes setting the chatbot to use graphicons that imitate preset human paralinguistic element and nonverbal element, providing a question according to a preset survey to a user terminal communication-connected to the chatbot server and receiving an answer to the question employing the chatbot, and analyzing the answer and transmitting the graphicon corresponding to the answer among the graphicons to the user terminal.

A method and an apparatus for recommending a business object, an electronic device, and a storage medium include: obtaining audience attribute information and business object attribute information; determining whether to display the business object according to the audience attribute information and the business object attribute information; and displaying, when determining to display the business object, the business object. By means of audience attribute information, a business object matching the audience can be determined from a business object library, and the business object is more in line with viewing interests of the audience; moreover, different business objects can be pushed to different audiences, so that the correctness and flexibility for pushing business objects are improved.

A method of facilitating access to a promotional offer, the method comprising: receiving at a server system a page request from a client device; and sending program code executable in a browser application to the client device in response to the page request, the program code being executable to display at least one promotional offer and a promotional code, to provide a flash object at a display position of the promotional code and, in response to selection of the flash object, to cause the promotional code to be copied to a user-accessible memory of the client device and to open a new browser display of the browser application.