Abstract: A method and system for improving real-time audio, video, and sensor detection and analysis is provided. The method includes retrieving audio/video data, biometric data, and environmental data associated with associated with a user at a location. The audio/video data, biometric data, and environmental data are analyzed and based on the analysis, a current biometric state of the user is determined. The current biometric state of the user is compared to a baseline biometric state of the user and it is determined that the current biometric state comprises an elevated biometric state with respect to the baseline biometric state of the user. Self-learning software code for executing a machine based interaction modification event associated with reducing the elevated biometric state of the user is generated and the machine based interaction modification event is executed.

Abstract: The disclosure is directed to garbage cleaning of cookies in a web browser. A computer-implemented process according to embodiments includes: determining a presence of a first cookie and a second cookie in the web browser, the first cookie and the second cookie representing a cleanliness status of the web browser; in response to determining that the first cookie and the second cookie are both present in the web browser, indicating a status of the web browser as clean and taking no further cleaning action; and in response to determining that only the first cookie is present in the web browser, indicating the status of the web browser as needs cleaning, and performing garbage collection of cookies in the web browser.

Abstract: The disclosure is directed to garbage cleaning of cookies in a web browser. A computer-implemented process according to embodiments includes: determining a presence of a first cookie and a second cookie in the web browser, the first cookie and the second cookie representing a cleanliness status of the web browser; in response to determining that the first cookie and the second cookie are both present in the web browser, indicating a status of the web browser as clean and taking no further cleaning action; and in response to determining that only the first cookie is present in the web browser, indicating the status of the web browser as needs cleaning, and performing garbage collection of cookies in the web browser.

Abstract: A method and system for improving real-time audio, video, and sensor detection and analysis is provided. The method includes retrieving audio/video data, biometric data, and environmental data associated with associated with a user at a location. The audio/video data, biometric data, and environmental data are analyzed and based on the analysis, a current biometric state of the user is determined. The current biometric state of the user is compared to a baseline biometric state of the user and it is determined that the current biometric state comprises an elevated biometric state with respect to the baseline biometric state of the user. Self-learning software code for executing a machine based interaction modification event associated with reducing the elevated biometric state of the user is generated and the machine based interaction modification event is executed.

Abstract: The disclosure is directed to garbage cleaning of cookies in a web browser. A computer-implemented process according to embodiments includes: determining a presence of a first cookie and a second cookie in the web browser, the first cookie and the second cookie representing a cleanliness status of the web browser; in response to determining that the first cookie and the second cookie are both present in the web browser, indicating a status of the web browser as clean and taking no further cleaning action; and in response to determining that only the first cookie is present in the web browser, indicating the status of the web browser as needs cleaning, and performing garbage collection of cookies in the web browser.

Abstract: A computer-implemented process for groups includes forming a group using a series of invitation, acceptance and confirmation handshake messages. A location center for the group is calculated as an average location for all members of the group as calculated by the computer from data included in at least one message of the messages. The computer calculates a perimeter for the group from the data. The computer calculates a time decay parameter for the group from the data. The computer calculates a group profile for the group based on at least the location center, the perimeter and the time decay parameter. The computer adds a new member to the group, by any member triggering an invitation process with the new member. The computer recalculates the group profile on acceptance by the new member and transmits the recalculated group profile to all members including a confirmation message to the new member.

Abstract: A computer-implemented process for groups includes forming a group using a series of invitation, acceptance and confirmation handshake messages. A location center for the group is calculated as an average location for all members of the group as calculated by the computer from data included in at least one message of the messages. The computer calculates a perimeter for the group from the data. The computer calculates a time decay parameter for the group from the data. The computer calculates a group profile for the group based on at least the location center, the perimeter and the time decay parameter. The computer adds a new member to the group, by any member triggering an invitation process with the new member. The computer recalculates the group profile on acceptance by the new member and transmits the recalculated group profile to all members including a confirmation message to the new member.