Provided is a process of identifying an offers engine configured to provide information about offers to users, the method including: receiving, at an offers engine, a request for an offers interface website from a mobile computing device; and in response to the request, transmitting to the mobile computing device a website configured to cause a browser of the mobile computing device to perform steps, including: detecting an offers intent in the transmitted website; retrieving from memory of the mobile computing device an identifier of a native application offers interface mapped to the offers intent; and in response to retrieving the identifier of the offers engine, launching the native application, the native application being stored in memory of the mobile computing device and configured to provide an offers interface to the offers engine.

Disclosed is a display device. The display device includes: a display; a communication interface; and a processor configured to establish a connection with an external device through the communication interface and receive a data packet from the external device through the established connection, obtain mode information of the display device, obtain advertising content for the external device based on identification information of the external device included in the data packet and based on the mode information, and control the display to display the obtained advertising content.

Video of one or more vehicle occupants is obtained and analyzed. Heart rate information is determined from the video. The heart rate information is used in cognitive state analysis. The heart rate information and resulting cognitive state analysis are correlated to stimuli, such as digital media, which is consumed or with which a vehicle occupant interacts. The heart rate information is used to infer cognitive states. The inferred cognitive states are used to output a mood measurement. The cognitive states are used to modify the behavior of a vehicle. The vehicle is an autonomous or semi-autonomous vehicle. Training is employed in the analysis. Machine learning is engaged to facilitate the training. Near-infrared image processing is used to obtain the video. The analysis is augmented by audio information obtained from the vehicle occupant.

Disclosed are methods, systems, and non-transitory computer-readable medium for optimizing user experience with respect to email journeys. For example, a method may include determining a first development subset, a first quality assurance subset, and a first production subset of a first plurality of user identifiers; determining and transmitting a first development set of messages, a first quality assurance set of messages, and a first production set of message; determining a development performance indicator, a quality assurance performance indicator, and a production performance indicator based on one or more messages received in response to the transmitted first development set of messages, first quality assurance set of messages, and first production set of message, respectively.

The present disclosure provides a method, computer system and computer program product for determining interruption points based on emotion values in a content. According to the method, emotion values of one or more emotion catalogs at one or more time points of the content to be interrupted can be determined, and one or more interruption points can be determined based on the determined emotion values.

A personal taste assessment system recommends a consumable or other item. The system accesses a preference model for the representing associations between a person's ratings of items and a set of item characteristics. The system uses the preference model and an item database that contains characteristic values for a group of items to identify a candidate item having characteristics that correspond to traits that the person found to be appealing, and which may be chemically sensed. The system then causes an electronic device to output an identification of the candidate item.

Provided are methods and systems for optimization and personalization of marketing actions using cloud, hybrid, and quantum-based computing techniques. An example method commences with iteratively selecting, from a pool of prospective clients, at least one subgroup of the prospective clients based on predetermined criteria. The method further includes performing at least one marketing action on the at least one subgroup of the prospective clients. The method then continues with receiving a feedback from a prospective client belonging to the at least one subgroup of the prospective clients in response to the at least one marketing action. The method further includes scoring, by a machine learning technique, the feedback received from the prospective client. The method further includes modifying the at least one marketing action until the at least one marketing action is optimized for the prospective client based on the scoring of the feedback.

A system, method and computer program product for providing targeted messages to a person using telephony services by generating user profile information from telephony data and using the user profile information to retrieve targeted messages.

A system for assisting a customer is provided. The system comprises a database comprising multimedia files, wherein one or more tags are associated with one or more of the multimedia files. The system further comprises a virtual agent server 100 configured to receive input from a first user (customer) and a second user (customer service representative). Further, the virtual agent server 100 processes the received input to understand a context of the input. Subsequently, the virtual agent server 100 identifies one or more multimedia files based on the context and the tags associated with the multimedia files. Subsequently, the virtual agent server 100 shares at least one of the identified multimedia files with at least one of the first user and the second user to enable better understanding between the first user and the second user.

Embodiments of the present application relate to a method, apparatus, and system for service processing. The method includes, in response to receiving a startup command for a target application, obtaining texture data corresponding to a target service of the target application, the texture data being obtained from service content that is stored locally on a terminal before the startup command is received, the texture data conforming to a preset texture format, obtaining display content corresponding to the target service based at least in part on the texture data, and providing the display content corresponding to the target service on the terminal.