A system includes a memory, a survey engine, and a reporting engine. The memory stores identifying information of a plurality of users. The survey engine determines a question to present to each user of the plurality of users and determines an interval for each user of the plurality of users. The determined interval for a first user of the plurality of users is different from the determined interval for a second user of the plurality of users. For each user, the survey engine communicates to that user, based on the stored identifying information, the determined question for that user according to the determined interval for that user and receives a response from each user of the plurality of users. The reporting engine generates a report based on the received response from the plurality of users.

System and methods for tracking events in a sports game using one or more event input devices. Each event input device tracks a subset of the game events and the devices work together to provide a simplified input experience by sharing input and context from other event input devices. Since the user is only responsible for capturing a subset of the events, and because each device simplifies the input requirements of the other event input devices, the end user is still able to enjoy watching the game while also opening up the input task to users who would not have typically done so. The combined results of the devices provides a complete picture of the game in the form of a game play-by-play for the fans and statistics for the coaches. Integration with the scoreboard, communication system and player devices provide further event input simplification, rich content for viewers and simplification for traditional scorekeepers and sound controllers.

An example apparatus includes: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to: access a cookie at a client device, the cookie including a priority listing indicative of an order in which beacon requests are to be sent to ones of a plurality of database proprietors; cause a first beacon request to be sent to a first database proprietor server, the first database proprietor server corresponding to a highest priority in the priority listing of the cookie, the first beacon request indicative of access to media at the client device; and cause a second beacon request to be sent to a second database proprietor server, the second database proprietor server corresponding to a lower priority than the highest priority in the priority listing of the cookie, the second beacon request indicative of the access to the media at the client device.

A computer system receives user data from a computing device of a user and determines that the user will utilize a transport service to arrive at a destination location at a specified time. The computer system automatically triggers, without user input, a service request for the user by monitoring transport provider availability within a proximity of a current location of the user prior to the specified time, and determines a service request time for the user based on the transport provider availability. The computer system then generates the service request for the scheduled user event based on the service request time.

A device may receive data that identifies applications utilized by users, databases utilized by the applications, and the users, and may process the received data, with first models, to determine context data that matches the users and events associated with the applications, and task data that identifies tasks to be performed by the users in response to the events. The device may process the received data and the context data, with a second model, to generate role data that identifies user interfaces utilized by the users to access the applications, and credentials of the users, and may process the context data, the task data, and the role data, with a third model, to generate persona data that identifies personas, and assignment data that assigns each of the users to one of the personas. The device may perform actions based on the persona data and the assignment data.

Techniques for committing back end computing resources to an online stream of requests for data from client devices are described herein. A polling schedule server (e.g., a reservation management system), may receive polling reservation requests from a plurality of client devices, may evaluate each client device's need for “fresh” data based on a number of input signals, and may assign the client device a polling slot (e.g., a reservation for a future polling time). The polling scheduler server may subsequently receive a polling request from a client device and, upon validating a token received from the client device as well as a difference between an assigned polling time and the polling request timestamp, may grant the polling request by transmitting a request to one or more communication system servers, receiving data from the communication system servers, and providing the data to the client device.

A communication system for providing a positive communication to an inmate is provided. The communication system includes memory that stores data, and an application server that analyzes data to determine topics that are important to the inmate. The application server includes a topic rating system to rate the topics based on importance to the inmate and based on an emotional tone used by the inmate during a communication. When the application server receives a question from the inmate, the application server searches the data and the Internet and responds based on the answer and the data stored in memory. The application server also provides support to the inmate by suggesting counseling services according to the needs of the inmate. Further, the communication system provides a positive influence to the inmate to encourage educational progression.

A content integration system is configured to rapidly select online content for distribution in response to a user-generated request. The content integration system can analyze available online content items and data describing the user to generate one or more numerical likelihoods estimating how the user will interact with each of the given online content items. The highest scoring content can be selected and transmitted to the user without a noticeable delay.

An analytics server receives from client computing devices end-user events. Each client computing device is operated by an end-user to access an application at a web server based on the end-user events resulting in calls being passed through a proxy to the web server. The analytics server receives from the proxy the calls being made to the web server, and receives return responses from the web server being passed through the proxy. The return responses correspond to activities being performed within the application. The end-user events are correlated with the corresponding calls and return responses from the proxy. Respective correlated end-user events, calls and return responses are translated into respective event vectors. The respective event vectors are processed to determine similarities among the client computing devices. The similar activities are associated with a quality indicator to identify anomalies within the application for corrective action to be taken.

A method for improving communications in a digital collaboration environment by receiving a communication directed to a first user, determining that the first user is unavailable, in response to determining that the first user is unavailable, determining a second user based on an attribute, and notifying the second user about the communication directed to the first user.