A system and method for content selection and presentation is disclosed. A plurality of content elements configured for presentation in at least one content container is received and one of the plurality of content elements is selected for presentation in the at least one content container. The one of the plurality of content elements is selected by a trained selection model configured to select one of an individual context or a global context. An interface including the selected one of the plurality of content elements is generated.

A system and method for capturing a location based experience at an event including a plurality of mobile devices having a camera employed near a point of interest to capture random, crowdsourced images and associated metadata near said point of interest. In a preferred form, the images include depth camera information from prepositioned devices around the point of interest during the event. A network communicates images, depth information, and metadata to build a 3D model of the region, preferably with the location of contributors known. Users connect to this experience platform to view the 3D model from a user selected location and orientation and to participate in experiences with, for example, a social network.

A method and system for recommending a merchant are provided. The method includes receiving financial transaction data documenting financial transactions between a plurality of account holders and a plurality of merchants and generating a merchant correspondence matrix that includes the plurality of merchants and a plurality of indicators of interactions associated with pairs of the plurality of merchants. The plurality of indicators of interactions tallying financial transactions conducted by the plurality of account holders at both of the merchants in a pair of the plurality of merchants. The method further includes receiving a query for a recommendation of a merchant from an account holder and generating a ranked list of merchants based on a recommender algorithm. The recommender algorithm inferring user preferences from attributes of the plurality of merchants that were visited by the cardholder.

Disclosed herein are various embodiments for a customer callback system. An embodiment operates by determining a call action indicating a customer to whom a representative is to speak. Data corresponding to an identifier associated with a computing device of the customer and an ad history indicating when a plurality of ads were presented to an application on the computing device of the customer over a defined period of time are retrieved. Based on the data, a pattern associated with when the customer is using the computing device is generated. The pattern is based on a comparison of a first period of time a second period of time during when ads were presented to the computing device. Based on the pattern, a target time indicating when to perform the call action is produced.

Systems and methods for audio advertising user interaction are disclosed. A voice interactive device causes an advertising audio file to be played for a user. The user can express interest in the advertising content of the advertising audio file by speaking one of a plurality of predetermined intents. Based on expressed user response, one or more results can be provided to the user and/or to a user device. The results relate to advertising content of the advertising audio file.

One or more embodiments herein can facilitate a process to guide a user at a digital medium. An exemplary system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an obtaining component that obtains user behavior data from a digital medium, the user behavior data defining an interaction of the user with the digital medium, a prediction component that, based on the user behavior data, predicts a path of the user within the digital medium, and a classification component that, based on the user behavior data and on the path prediction, classifies a position of the user along a defined path to a conversion objective of the digital medium. The conversion objective can comprise obtaining the user as a customer, achieving a financial transaction, or presentation of a communication.

A method includes: receiving a query from a computing device accessed by a recipient; accessing an identifier, associated with an advertisement card, including a pointer to an electronic document associated with the advertisement card and a recipient code associated with the recipient; accessing a set of recipient profiles associated with target recipients of a set of advertisement cards. The method also includes responsive to the recipient code corresponding to a first recipient profile: accessing a set of recipient characteristics specified by the first recipient profile; deriving an engagement metric, for the recipient interacting with the advertisement card; predicting an intent of the recipient to engage with advertising content related to the advertisement card; assembling a customized advertising experience for presenting to the recipient within a first instance of the electronic document; and triggering the computing device to navigate to the first instance of the electronic document based on the pointer.

The method includes: An electronic device 100 obtains first personal data (S1001); the electronic device 100 constructs a personal knowledge graph based on the first personal data (S1002); the electronic device 100 obtains parameter information of first advertisement content from an advertisement server 200 (S1003); the electronic device 100 obtains parameter information of second advertisement content from the parameter information of the first advertisement content based on the personal knowledge graph (S1004); the electronic device 100 obtains the second advertisement content based on the parameter information of the second advertisement content (S1005); and the electronic device 100 displays the second advertisement content on a display (S1006).

Disclosed here is a system that can obtain attributes of an advertisement, where an attribute has a continuous value, and a range of acceptable values is uncertain. The system can create a file including contents that when provided to a predetermined function produce a value of the attribute. Based on the file, the system can generate values corresponding to the attributes. Based on the generated values, the system can create the advertisement. The system can obtain a response data to the created advertisement and can fit a multidimensional function to the attributes and the user response data. Based on the multidimensional function, the system can determine next values and next ranges, where the next values and the next ranges indicate an improvement in the response data.

Various embodiments are generally directed to method and devices to receive biometric data and transaction data relating to a transaction, apply a model to the biometric data and the transaction data to determine an emotional state of the user during the transaction, and determine an action associated for the transaction based on the emotional state of the user during the performance of the transaction. Embodiments further include causing performance of the action.