Abstract: A method and system for obscured contact sharing is provided. In an embodiment, the method includes receiving at a first user device a request from a second user device to provide an obscured contact, wherein the obscured contact includes a plurality of information elements. The first user device receives from the second user device the obscured contact and data about obscuring at least one of the information elements of the obscured contact. Based on the data, an operating system of the first user device obscures the at least one information element from presentation by the first user device to a user while at the same time being able to use the obscured information element for a predetermined time. The operating system of the first user device removes the at least one information element from contact information storage of the first user device in response to detection of a predetermined time indicated by the second user device or a delete command from the second user device.

Abstract: A computer-implemented method for controlling access to a computing device based on one or more facial expression configurations of a user. The method captures the one or more facial expression configurations of the user, and matches the captured one or more facial expression configurations of the user with one or more defined facial expression configurations, wherein the one or more defined facial expression configurations are associated with one or more access permissions, or actions to be performed by the computing device. The method further grants the one or more access permissions to the user based on the match, and/or performs the action associated with the match. In additional embodiments, the method may further create one or more user profiles of the user, wherein each of the one or more user profiles is configured to include one or more access permissions.

Abstract: Systems and methods for assessing the veracity of content are described. The method may include determining a truth rating for each of a plurality of factual claims in a document, generating a veracity score for the document based on the truth rating for each of the identified plurality of factual claims, generating a meta-data score for the document based on metadata of the document, and generating a content structure score for the document. The method may then include generating a reliability index for the document based on the veracity score and the meta-data score and presenting the scores and the overall reliability index to a user via a user application.

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: Crowd-sourced device control can include monitoring a physical state associated with a user of the mobile device and performing relevant-device polling in response to detecting a change in the physical state associated with the user. Crowd-sourced device control also can include determining an operational parameter setting for the mobile device based on a relevant-device consensus determined by the relevant-device polling. Responsive to the operational parameter setting, as determined based on the relevant-device consensus, being different than a current setting of the operational parameter, a response action by the mobile device can be initiated.

Abstract: A computer creates a prioritization list of a set of project functions, wherein each project function is associated with a priority level and an amount of resources. The computer detects a request, wherein the request includes a request to do one or more of alter one or more project functions of the set of project functions, add one or more project functions to the set of project functions, and remove one or more project functions from the set of project functions. The computer determines whether to allow the request based on at least on a comparison to the prioritization list.

Abstract: One or more processors generate a view that identifies the data records of a first database having a back-level version. Instructions are received to migrate the data records from a back-level version to a new version of the data records. Responsive to receiving a query requesting data records of the first database, the version level of the requested data records is determined based on the generated view. Responsive to determining the requested data records are in the back-level version, a migration is performed on the requested data records including changes resulting in the new version of the requested data records. The requested data records are identified as changed to the new version of data records, and the new version of the requested data records are written to a pre-determined storage location and are provided to a requestor submitting the query.

Abstract: A method, system, and computer program product are provided for visualizing relative sizes of similar products in an online store. A computing device obtains at least two visual representations of the similar products from the online store. A size of each of the visual representations is adjusted to reflect its corresponding respective size relative to other sizes of the similar products. The size-adjusted visual representations are provided for rendering on a display device.

Abstract: A method, system and computer program product includes detecting a volume level for audio input of a first user in a multi-user conference call, and automatically adjusting a volume level for a second user receiving audio output of the first user based on at least one of preferences of the second user, historic data between the first and the second user, and geographic characteristics of the audio input of the first user.

Abstract: Generating image training data for training an autonomous photography agent to learn the preferences and photo-taking styles of a given set of human users. The preferences and/or photo-taking styles include, but are not necessarily limited, to: (i) human users of a certain age group (such as toddlers or adults); (ii) profession of the photo-taker (professional photographer rather than a hobbyist); (iii) health status of the photo-taker; and/or (iv) travel status of the photo-taker (such as a tourist in a new city rather than a resident of a given city).

Abstract: Generating a preferred media playlist based on a determined activity type. A media item is played from a media library. A computing device collects metadata regarding the played media item. The computing device receives sensor data from one or more sensors. The computing device determines an activity type based upon the received sensor data. The computing device generates a media item record comprising a media item identification for the media item, the metadata collected regarding the played media item, and the determined activity type. The media item records are ranked based upon the metadata regarding the played media and the determined activity type. The computing device generates a preferred media playlist comprising a plurality of generated media item records ranked highest.

Abstract: Embodiments describing an approach to generating, a calibration slide for a presentation. Receiving, a first image of the calibration slide. Receiving, a second image of the calibration slide, wherein the second image of the calibration slide is associated with the projector component. Analyzing, the first image of the calibration slide and the second image of the calibration slide, wherein the analysis comprises: comparing, display attributes between the first and second image of the calibration slide, and identifying, distortions in the second image of the calibration slide. Responsive to the analysis, calibrating, the display attributes of the presentation based on a preset user threshold of acceptance.

Abstract: Crowd-sourced device control can include monitoring a physical state associated with a user of the mobile device and performing relevant-device polling in response to detecting a change in the physical state associated with the user. Crowd-sourced device control also can include determining an operational parameter setting for the mobile device based on a relevant-device consensus determined by the relevant-device polling. Responsive to the operational parameter setting, as determined based on the relevant-device consensus, being different than a current setting of the operational parameter, a response action by the mobile device can be initiated.

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 method for controlling access to a computing device based on one or more facial expression configurations of a user. The method captures the one or more facial expression configurations of the user, and matches the captured one or more facial expression configurations of the user with one or more defined facial expression configurations, wherein the one or more defined facial expression configurations are associated with one or more access permissions, or actions to be performed by the computing device. The method further grants the one or more access permissions to the user based on the match, and/or performs the action associated with the match. In additional embodiments, the method may further create one or more user profiles of the user, wherein each of the one or more user profiles is configured to include one or more access permissions.

Abstract: Disclosed embodiments provide techniques for automated setup of a wireless datacenter. A computer-based wireless management and discovery system communicates with datacenter computers (nodes) via a management service set identifier (SSID). The wireless management and discovery system establishes a list of eligible wireless channels that can be used for the datacenter by scanning wireless channels currently in use. Each wireless datacenter node is assigned an SSID that corresponds to the datacenter. A transmission test is performed to set a minimum transmit power for upstream and downstream communication between the datacenter nodes and corresponding wireless access points. Once the minimum transmission power levels are established, the datacenter node enters an operational mode using the assigned SSID. The setup is accomplished without human intervention. Once in operational mode, the datacenter node performs its intended datacenter function.

Abstract: A method and associated system. In response to a request to deploy a virtual machine, a virtual machine resource usage pattern having attributes matching a subset of attributes in than ordered sequence of attributes is selected from at least one virtual machine resource usage pattern stored in a virtual machine resource usage pattern library, based on an ordering of the attributes in the ordered sequence of attributes, wherein the virtual machine resource usage pattern library stores usage patterns for virtual machines previously deployed. A node on which the virtual machine is to be deployed is selected, based on the selected virtual machine resource usage pattern, and additionally based on either available resources of the plurality of nodes or predicted runtime resource requirements of the virtual machine to be deployed. The virtual machine is configured for being deployed on the selected node. The virtual machine is deployed on the selected node.

Abstract: A computer-implemented method for guided vehicle evaluation includes executing on a computer processor the step of receiving a vehicle identification number (VIN) for a vehicle and analyzing maintenance items and repair items for the vehicle from anonymized vehicle data identified by the VIN which identifies deviations from normal maintenance items and repair items identified by a decoded VIN. The anonymized vehicle data includes repair items and maintenance items performed on the vehicle and a vehicle mileage for each repair item and for each maintenance item. Expected service needs for the vehicle are computed based on the identified deviations from normal of maintenance items and repair items, and the expected service needs for the vehicle are displayed.