Abstract: A method for route generation based on a stated purpose of an activity, implemented by a computer system, includes: receiving, by the computer system, a route request from a user device, the route request including an activity to be performed during a route traversal, a purpose of the activity, and a user identifier associated with a user of the user device; in response to receiving the route request, obtaining, by the computer system, a set of user preferences associated with the user identifier from a user profiles database; identifying, by the computer system, a set of route candidates with route attributes matching the activity, the purpose of the activity, and at least one of the user preferences; and outputting, by the computer system to the user device, one or more recommended route candidates from the set of route candidates based on the matching.

Abstract: A computer-implemented method, a computer system and a computer program product display a custom food establishment menu. The method includes receiving a plurality of ingredients for each of a plurality of food items which are displayed on a menu. The method also includes receiving a user profile that includes food ingredient requirements of a user. In addition, the method includes receiving an image of a menu and determining a name for each food item displayed on the menu using text recognition. The method further includes classifying the displayed food items based on the determined names and received user profile. Finally, the method includes displaying an image of the menu on a device which includes a visual indication associated with the classification of the displayed food items.

Abstract: A content artifact is received. Based on the content artifact, a content topic is identified. Based on the content artifact, a content sentiment score associated with the content topic is generated. Based on the content topic, a set of media is identified. For each medium within the set of media, a medium sentiment score associated with the content topic is identified. The content sentiment score is compared to the set of media sentiment scores to obtain a set of similarity scores. Based on the similarity scores, one or more media from the set of media are displayed to a user.

Abstract: A computer-implemented system and method for controlling access to an account comprises, in a policy definition phase, receiving instructions to add an authorized user to an account from a primary user associated with the account. The method further comprises receiving, from the primary user, policy rules comprising one or more rules that restrict use of the account by the authorized user. In an account use phase, the method comprises receiving a transaction by the authorized user from a merchant, performing a policy rules determination that the transaction relates to a plurality of items and that one of the plurality of items does not meet the policy rules, and rejecting the transaction based on the policy rules determination.

Abstract: A method and system for improving a machine learning task assignment process is provided to address productivity with respect to satisfaction. The method includes connecting hardware devices to a server system. Job related data associated with job roles for individuals is retrieved and associated with a time period. Work related items of the job related data are presented and selections for work related items are retrieved via selectors for the work items. Expected and actual satisfaction ratings for the work related items are received and analyzed in accordance with an order in which they are received. At least one work item is assigned to a user and a specialized memory repository is generated within a portion of a memory device. Results of the assignment are stored within the specialized memory repository. Self-learning software code for executing future task assignment processes is generated and modified based on reported satisfaction ratings.

Abstract: A method for improving a machine learning allergy diagnosis process is provided. The method includes identifying databases comprising data identifying menu items served by food establishments. Allergy data defining a food products associated with potential allergens is analyzed in real time and in response, baseline allergen indication software code for defining an allergen baseline indicator is generated. Ingredients of the menu items are analyzed with respect to the allergy data and allergen baseline levels for the ingredients determined. An allergen baseline level for each menu item is determined and an allergen alert software application for alerting a user with respect to each overall allergen assessment is generated.

Abstract: A system for improving a machine learning allergy diagnosis process is provided. The system implements a method that includes identifying databases comprising data identifying menu items served by food establishments. Allergy data defining a food products associated with potential allergens is analyzed in real time and in response, baseline allergen indication software code for defining an allergen baseline indicator is generated. Ingredients of the menu items are analyzed with respect to the allergy data and allergen baseline levels for the ingredients determined. An allergen baseline level for each menu item is determined and an allergen alert software application for alerting a user with respect to each overall allergen assessment is generated.

Abstract: A method for route generation based on a stated purpose of an activity, implemented by a computer system, includes: receiving, by the computer system, a route request from a user device, the route request including an activity to be performed during a route traversal, a purpose of the activity, and a user identifier associated with a user of the user device; in response to receiving the route request, obtaining, by the computer system, a set of user preferences associated with the user identifier from a user profiles database; identifying, by the computer system, a set of route candidates with route attributes matching the activity, the purpose of the activity, and at least one of the user preferences; and outputting, by the computer system to the user device, one or more recommended route candidates from the set of route candidates based on the matching.

Abstract: A content artifact is received. Based on the content artifact, a content topic is identified. Based on the content artifact, a content sentiment score associated with the content topic is generated. Based on the content topic, a set of media is identified. For each medium within the set of media, a medium sentiment score associated with the content topic is identified. The content sentiment score is compared to the set of media sentiment scores to obtain a set of similarity scores. Based on the similarity scores, one or more media from the set of media are displayed to a user.

Abstract: A method and system for improving a machine learning task assignment process is provided to address productivity with respect to satisfaction. The method includes connecting hardware devices to a server system. Job related data associated with job roles for individuals is retrieved and associated with a time period. Work related items of the job related data are presented and selections for work related items are retrieved via selectors for the work items. Expected and actual satisfaction ratings for the work related items are received and analyzed in accordance with an order in which they are received. At least one work item is assigned to a user and a specialized memory repository is generated within a portion of a memory device. Results of the assignment are stored within the specialized memory repository. Self-learning software code for executing future task assignment processes is generated and modified based on reported satisfaction ratings.

Abstract: A system for improving a machine learning allergy diagnosis process is provided. The system implements a method that includes identifying databases comprising data identifying menu items served by food establishments. Allergy data defining a food products associated with potential allergens is analyzed in real time and in response, baseline allergen indication software code for defining an allergen baseline indicator is generated. Ingredients of the menu items are analyzed with respect to the allergy data and allergen baseline levels for the ingredients determined. An allergen baseline level for each menu item is determined and an allergen alert software application for alerting a user with respect to each overall allergen assessment is generated.

Abstract: A method for improving a machine learning allergy diagnosis process is provided. The method includes identifying databases comprising data identifying menu items served by food establishments. Allergy data defining a food products associated with potential allergens is analyzed in real time and in response, baseline allergen indication software code for defining an allergen baseline indicator is generated. Ingredients of the menu items are analyzed with respect to the allergy data and allergen baseline levels for the ingredients determined. An allergen baseline level for each menu item is determined and an allergen alert software application for alerting a user with respect to each overall allergen assessment is generated.