Techniques and system configurations for providing content to a mobile device based on activity in a physical commercial environment such as a retail store are described herein. Mobile devices that are operated by an associated customer may be tracked with the use of beacons to determine customer activities in the retail store, including particular areas visited in the store, activities conducted by the customer in the store, and like tracking information. The customer activity and data for the activities and locations in the physical environment may be correlated to an identifier, profile, or other tracking information. This tracking information may be subsequently used by the mobile device to identify the user to an advertising network, or other information service, and obtain customized media content and information.

A method that incorporates the subject disclosure may include, for example, providing a first digital assistant to engage in a first communication exchange with a user of the first communication device where the first digital assistant has a first digital assistant persona that controls information provided by the first digital assistant during communication exchanges, analyzing user input during the first communication exchange, and adjusting the first digital assistant persona based on one or more of the user persona, user deficiency, or promotional offers. Other embodiments are disclosed.

Systems for monitoring and analyzing behavior in various applications and uses thereof. Generally, the systems (and uses thereof) are for monitoring and analyzing consumer purchasing behavior in real-time to drive sales via engaging digital customer experiences. In embodiments, the disclosed system can include a retail store system that features and includes MAC address tracking, user eye tracking, object identification of goods on shelves, open API, advertising broker rules engine. In addition, the system can include a customer engagement with interactive output displays including displays with demographic intelligence, displays with demographics and MAC—panels throughout store at product, displays with demographics and MAC—single panel or few panels scattered throughout store, automated customer assistance at shelf, customer purchase at shelf.

Method, system, and programs for measuring user engagement. In one example, a model generated based on user activities with respect to a plurality pieces of content is obtained. One or more actual occurrences of the user activities with respect to one piece of the plurality pieces of content are identified. One or more future occurrences of the user activities with respect to the piece of content are estimated based on the model. A user engagement score with respect to the piece of content is calculated based on the one or more actual occurrences of the user activities and the one or more future occurrences of the user activities.

A contextual services delivery system may comprise a services repository containing services instructions and a contextual services delivery module. The contextual services delivery module may deliver different contextual services to a smartphone and/or a POS terminal in response to a context environment, in order to provide a user with a customized contextual services experience.

The present disclosure is directed to associating computing devices with each other based on computer network activity for selection of content items as part of an online content item placement campaign. A first linking factor is identified based on a connection between a first device and the computer network via a first IP address during a first time period, and based on a connection between a second device and the computer network via the first IP address during the first time period. A number of devices that connect with the computer network via the first IP address is determined. A positive match probability is generated. A second and third linking factors are monitored. A negative match probability is determined based on the second and third linking factors. The first device is linked with the second device based on the positive and negative match probabilities.

Techniques are disclosed utilizing cognitive computing to improve banking experiences. A customer's account may be monitored to determine an amount of customer interactions, and that the amount of customer interactions for the customer through at least one self-service channel is less than the amount of customer interactions for the customer through at least one full-service channel. When the amount of customer interactions for the customer through the at least one self-service channel is less than the amount of customer interactions through the at least one full-service channel, the system may generate an electronic offer for the customer that includes a reward for an account associated with the customer if the customer increases usage of the at least one self-service channel and decreases usage of the at least one full-service channel for future customer interactions with the vendor.

A system and method is provided for using biometric data from an individual to determine at least one emotion, mood, physical state, or mental state (“state”) of the individual, which is then used, either alone or together with other data, to provide the individual with certain web-based data. In one embodiment of the present invention, a Web host is in communication with at least one network device, where each network device is operated by an individual and is configured to communicate biometric data of the individual to the Web host. The Web host is then configured to use the biometric data to determine at least one state of the individual. The determined state, either alone or together with other data (e.g., interest data), is then used to provide the individual with certain content (e.g., web-based data) or to perform a particular action.

A digital assistant executing at, at least one processor, is described that is configured to determine a set of candidate third party agents. The digital assistant is further configured to receive, from a computing device that is associated with a user, information indicative of one or more interests of the user and determine based on the information, a set of relevance scores. The digital assistant is further configured to select one or more candidate third party agents from the set of candidate third party agents that have a respective relevance score that satisfies a threshold. Responsive to receiving an indication of user input that accepts a recommendation to configure the user account with the one or more candidate third party agents, the digital assistant is further configured to configure the user account for operation with the one or more candidate third party agents.

A control method of a personal authentication apparatus and a personal authentication apparatus stores a piece of authentication information of a predetermined user. The method and apparatus estimates an emotion felt by a target user, based on a physical quantity acquired by a sensor, generates identification information that identifies an object that causes the target user to feel the estimated emotion, based on the physical quantity acquired by the sensor or presentation information presented by a presenter, and determines whether the target user is the predetermined user based on the estimated emotion and the generated identification information and the piece of authentication information of the predetermined user.