Abstract: Restricting use of a selected input in recovery from system failures. A testing system obtains, based on failure of a system, an indication of one or more tasks to be performed. The testing system automatically determines whether a user is to perform one or more actions to alter execution of the one or more tasks. The automatically determining is based on an indication of whether a knowledge transfer score of the user meets at least one predefined criterion. Based on knowledge transfer score meeting the at least one predefined criterion, the one or more actions are performed.

Abstract: Restricting use of a selected input in recovery from system failures. A testing system obtains, based on failure of a system, an indication of one or more tasks to be performed. The testing system automatically determines whether a user is to perform one or more actions to alter execution of the one or more tasks. The automatically determining is based on an indication of whether a knowledge transfer score of the user meets at least one predefined criterion. Based on knowledge transfer score meeting the at least one predefined criterion, the one or more actions are performed.

Abstract: A cognitive test advisor facility is provided to identify repair action recommendations. The facility receives a user input regarding a test failure, and generates an expanded search input by identifying additional, alternative words for the user input. A database(s) is searched for test failure records relevant to keywords of the expanded search input, and relevant test failure records are prioritized using a relationship strength score based, at least in part, on relationship of the test failure records to the expanded search input. The facility detects test failure records from the searching having a relationship strength score higher than a threshold value, and analyzes the detected test failure records to identify potential test repair actions. Based on the analyzing, the facility generates a solution priority list including one or more suggested test repair actions for the test failure, and provides the solution priority list to the user.

Abstract: A method comprises computing an articulation rating associated with an input text, generating a modified subtext to modify a candidate subtext of the input text, generating an enhanced text that includes the modified subtext, computing an articulation rating associated with the enhanced text, and, based on the articulation rating associated with the enhanced text improving over the articulation rating associated with the input text, outputting the enhanced text. The method can include computing a meaning and/or relevance score associated with a candidate subtext of the input text, computing a meaning and/or relevance score associated with a modified subtext, and, based on one or both of the second scores improving over the respective first scores, generating the enhanced text to include the modified text. A word processing system, comprising a computerized input text, computerized attributes, and a computer-implemented word processor, can perform operations of the method.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Abstract: A cognitive test advisor facility is provided to identify repair action recommendations. The facility receives a user input regarding a test failure, and generates an expanded search input by identifying additional, alternative words for the user input. A database(s) is searched for test failure records relevant to keywords of the expanded search input, and relevant test failure records are prioritized using a relationship strength score based, at least in part, on relationship of the test failure records to the expanded search input. The facility detects test failure records from the searching having a relationship strength score higher than a threshold value, and analyzes the detected test failure records to identify potential test repair actions. Based on the analyzing, the facility generates a solution priority list including one or more suggested test repair actions for the test failure, and provides the solution priority list to the user.

Abstract: Goods/service recommendation that includes: accessing a consumer's computerized calendar to retrieve consumer calendar data and identifying an event in the calendar data; removing calendar data that is restricted data; determining first key words of the event representative of the event; identifying a target from the event; determining second key words of the target being descriptive of the target; determining third key words of the calendar data being descriptive of the consumer; combining the first, second and third key words; determining similarities and relationships between the target and the consumer to find groups of key words that form the strongest similarities and relationships; identifying the group of key words as having the strongest similarities and relationships between the target and the consumer; using the group of key words having the strongest similarities to identify a recommendation for providing a goods/service to the target; and providing the recommendation to the consumer.

Abstract: A method comprises computing an articulation rating associated with an input text, generating a modified subtext to modify a candidate subtext of the input text, generating an enhanced text that includes the modified subtext, computing an articulation rating associated with the enhanced text, and, based on the articulation rating associated with the enhanced text improving over the articulation rating associated with the input text, outputting the enhanced text. The method can include computing a meaning and/or relevance score associated with a candidate subtext of the input text, computing a meaning and/or relevance score associated with a modified subtext, and, based on one or both of the second scores improving over the respective first scores, generating the enhanced text to include the modified text. A word processing system, comprising a computerized input text, computerized attributes, and a computer-implemented word processor, can perform operations of the method.

Abstract: Goods/service recommendation that includes: accessing a consumer's computerized calendar to retrieve consumer calendar data and identifying an event in the calendar data; removing calendar data that is restricted data; determining first key words of the event representative of the event; identifying a target from the event; determining second key words of the target being descriptive of the target; determining third key words of the calendar data being descriptive of the consumer; combining the first, second and third key words; determining similarities and relationships between the target and the consumer to find groups of key words that form the strongest similarities and relationships; identifying the group of key words as having the strongest similarities and relationships between the target and the consumer; using the group of key words having the strongest similarities to identify a recommendation for providing a goods/service to the target; and providing the recommendation to the consumer.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: Methods, systems, and computer program products for placement of objects in a loading space are provided. Aspects include determining item data for a plurality of items, determining space data for a loading space, generating an optimized configuration for placement of the plurality of items in the loading space comprising determining one or more geometric representations for each item in the plurality of items, wherein the one or more geometric representations for each item are coupled together, determining, by an algorithm, a location in the loading space for each item in the plurality of items based on the one or more geometric representations for each item and the space data, and displaying, by a display, the optimized configuration comprising an image of each item of the plurality of items overlaid on corresponding locations in an image of the loading space.

Abstract: Embodiments of the present invention provide a computer-implemented method for generating test plans based on test failure root causes or symptoms. The method generates a heat map of manufacturing process test failures based at least in part on historical test failures and prior repair actions. A database is searched for test failure records that are relevant to user input. Relevant test failure records are prioritized via an index score that is assigned based at least in part on proximity of the relevant test failure records to the user input. Failure records that have an index score that is higher than a threshold value are detected. Unstructured text data of each of the detected failure records is analyzed to identify relevant keywords and relevancy rates. A test solution priority list is displayed, via a GUI, in a window or view that is separate from the heat map.

Abstract: Methods, systems, and computer program products for identifying and evaluating risk alerts are provided. Aspects include receiving risk alert data comprising risk alerts from data sources, obtaining, by the processor, client geographical data comprising one or more locations of interest, wherein the one or more locations of interest comprise infrastructure resource for the client, determining one or more trusted data sources that are most relevant to define an impact of one or more risk events from the risk alert data affecting one or more locations of interest for the client based on the risk alert data and the client geographical data, determining impactful risk events that affect locations of interest for the client based on trusted risk alert data from the trusted data sources and the client geographical data, and displaying the trusted data sources, the one or more impactful risk events, and the one or more locations.

Abstract: Systems and methods for content based routing are provided. Aspects include receiving, by a processor, a request to save a file. Analyzing, by the processor, data associated with the file. Determining one or more file save locations for the file based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the data associated with the file and presenting the one or more file save locations to a user.

Abstract: Embodiments of the present invention provide a computer-implemented method for generating test plans based on test failure root causes or symptoms. The method generates a heat map of manufacturing process test failures based at least in part on historical test failures and prior repair actions. A database is searched for test failure records that are relevant to user input. Relevant test failure records are prioritized via an index score that is assigned based at least in part on proximity of the relevant test failure records to the user input. Failure records that have an index score that is higher than a threshold value are detected. Unstructured text data of each of the detected failure records is analyzed to identify relevant keywords and relevancy rates. A test solution priority list is displayed, via a GUI, in a window or view that is separate from the heat map.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: The embodiments relate to dynamic server drawer build plan management. Output data associated with a data source is received. A drawer build plan list and one or more inventory scenarios are generated based on the received data. At least one build plan is chosen from the build plan list, and one or more drawer design configurations are compared to at least one inventory scenario to produce a set of eligible drawer design configurations. A drawer design configuration is selected from the set for one or more respective drawer build plans based on one or more constraints. A connection is established to a computer, and information associated with each selected drawer design configuration is transmitted to the second computer.

Abstract: A set of channel inputs corresponding to an order is received. A subset of the set is transformed, using a transformation rule, into a set of strategic transformed inputs. A total impact value and an integrated risk likelihood value corresponding to the order are computed. The integrated risk likelihood value and the total impact value of the order are output, to a shipping system, relative to a second integrated risk likelihood value and a second total impact value of a second completed order from a second channel, as a comparison of a first risk associated with the completed order relative to a second risk associated with the second completed order at a shipping dock. The shipping dock is shared by the order processing channel and the second order processing channel. When the first risk being higher than the second risk, the order is selected for shipping using the shipping system.