Abstract: A computer-implemented method, system, and computer program product to optimize sleep quality by inducing sleep stages. The method includes: determining a total sleep time; calculating, using the total sleep time, a cycle duration for a sleep cycle, where the sleep cycle includes a first, second, third, fourth, and fifth sleep stage; calculating a first, second, third, fourth, and fifth stage time for the first, second, third, fourth, and fifth sleep stages respectively; generating a first, second, third, fourth, and fifth external parameter for the first, second, third, fourth, and fifth sleep stages respectively, where the external parameters are parameters to facilitate a transition between sleep stages; and executing the first, second, third, fourth, and fifth external parameters upon reaching the calculated stage time for the corresponding sleep stages.

Abstract: A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

Abstract: A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.

Abstract: A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.

Abstract: A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.

Abstract: A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.

Abstract: A computer-implemented method, system, and computer program product to optimize sleep quality by inducing sleep stages. The method includes: determining a total sleep time; calculating, using the total sleep time, a cycle duration for a sleep cycle, where the sleep cycle includes a first, second, third, fourth, and fifth sleep stage; calculating a first, second, third, fourth, and fifth stage time for the first, second, third, fourth, and fifth sleep stages respectively; generating a first, second, third, fourth, and fifth external parameter for the first, second, third, fourth, and fifth sleep stages respectively, where the external parameters are parameters to facilitate a transition between sleep stages; and executing the first, second, third, fourth, and fifth external parameters upon reaching the calculated stage time for the corresponding sleep stages.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating a schedule for promotions using promotional windows. A set of product data associated with a plurality of products is received. Promotion data is received, and a plurality of intensity scores are calculated for the associated promotional data. A set of target product data associated with a target product is determined. A set of target promotional attributes is determined and a plurality of promotion windows are generated for display. A confidence value is determined for each generated promotion window of the plurality of promotion windows. An order list is generated for display. In response to receiving a second set of promotion data, the determined confidence value is modified for each generated promotion window of the plurality of promotion windows.

Abstract: A method, computer system, and computer program product for cognitively adjusting a notification alert delivery time are provided. The embodiment may include receiving a message notification from a sender. The embodiment may also include determining an importance of the received message notification based on a plurality of notification attributes and a plurality of person attributes that are each associated with the received message notification. The embodiment may further include, in response to determining to alert a user of the received message notification based on the determined importance, identifying a current user sleep stage. The embodiment may also include, in response to determining the current user sleep stage will minimally impact the user, transmitting the received message notification to a user device.

Abstract: Embodiments of the present invention provide systems and methods for predicting personality attributes. The method includes accessing a set of data for an operator. The method further includes analyzing the set of data, matching the operator to a set of personality attributes, and storing the matched set of personality attributes for the operator.

Abstract: At least one financial information for a user is received. A machine learning model is determined. The machine learning model is determined based on the user. A personality of the user is determined based on the machine learning model and the at least one financial information for the user. A recommendation is provided based on the determined personality of the user.