Abstract: In some implementations, a computing machine accesses an artificial intelligence model and a dataset for the artificial intelligence model, the dataset comprising at least one datapoint. The computing machine identifies a feature group used by the artificial intelligence model, the feature group comprising at least two features having a similarity with one another exceeding a similarity threshold, wherein the feature group comprises a subset of the features used by the artificial intelligence model. The computing machine determines an overall influence value for the feature group on an output of the artificial intelligence model applied to the dataset. The computing machine provides an output representing the overall influence value.

Abstract: A computer accesses an artificial intelligence (AI) model, a labeled in-sample (IS) dataset, and an unlabeled out-of-sample (OOS) dataset, the labeled IS dataset storing IS input values and corresponding IS output values, the unlabeled OOS dataset storing OOS input values but not corresponding OOS output values. The computer modifies, via importance sampling and based on a likelihood that a given datapoint from the IS dataset is associated with the OOS dataset, weights of multiple datapoints in the labeled IS dataset to generate a weighted IS dataset. The computer calculates an estimated performance metric of the AI model on the OOS dataset using at least a subset of datapoints in the weighted IS dataset. The computer provides an output representing the estimated performance metric of the AI model on the OOS dataset.

Abstract: A computer implemented method for managing medical information includes displaying a number of user interface elements within a graphical user interface, receiving medical information for a patient in a first user interface element of the user interface elements, processing the medical information to identify one or more semantic items, the one or more semantic items including a first semantic item, processing a medical record for the patient according to first semantic item, the processing including identifying a number of medical information items related to the first semantic item, and presenting at least some medical information items of the number of medical information items in a second user interface element configured to display medical information items related to the first semantic item.

Abstract: Embodiments provide for a portable imager by capturing several radar readings related to an object in an environment over several times from several of Points of View (POV), wherein each radar reading indicates a distance to and reflectivity of the object relative to the imager; capturing several camera images of the environment over the several of times from the several POVs; determining positional shifts of the imager over the several times based on photogrammetrical differences between subsequent camera images of the several camera images; determining, based on accelerometer data, a trajectory that the imager moves in the environment over the several times; determining positions of the imager in the environment over the several times based on the positional shifts and the trajectory; combining the several radar readings based on the positions to produce a synthetic aperture radar image of the object; and outputting the synthetic aperture radar image.

Abstract: A method and system. It is ascertained that user preferences of a user for service providers of specified features relating to the one or more travel routes are not contained in a user preference database and that the user preferences of the user for service providers of the specified features have not been provided with a previously received request to generate for the user a geographical map that depicts one or more travel routes from a specified initial address to a specified destination address, the specified features, and unique identifiers of preferred service providers of the specified features. User preferences of the user for service providers of the specified features are determined and in response, the map is generated and displayed.

Abstract: Embodiments provide for a portable imager by capturing several radar readings related to an object in an environment over several times from several of Points of View (POV), wherein each radar reading indicates a distance to and reflectivity of the object relative to the imager; capturing several camera images of the environment over the several of times from the several POVs; determining positional shifts of the imager over the several times based on photogrammetrical differences between subsequent camera images of the several camera images; determining, based on accelerometer data, a trajectory that the imager moves in the environment over the several times; determining positions of the imager in the environment over the several times based on the positional shifts and the trajectory; combining the several radar readings based on the positions to produce a synthetic aperture radar image of the object; and outputting the synthetic aperture radar image.

Abstract: A method and system. It is ascertained that user preferences of a user for service providers of specified features relating to the one or more travel routes are not contained in a user preference database and that the user preferences of the user for service providers of the specified features have not been provided with a previously received request to generate for the user a geographical map that depicts one or more travel routes from a specified initial address to a specified destination address, the specified features, and unique identifiers of preferred service providers of the specified features. User preferences of the user for service providers of the specified features are determined and in response, the map is generated and displayed.

Abstract: A method and system. A request to generate for a user a geographical map is received, wherein the map depicts one or more travel routes from a specified initial address to a specified destination address, specified features relating to the one or more travel routes, and unique identifiers of preferred service providers of the specified features. After the request is received, it is ascertained that user preferences of the user for service providers of the specified features are not contained in a user preference database and that user preferences of the user for service providers of the specified features have not been provided with the request. User preferences of the user for service providers of the specified features are determined and in response, the map is generated and displayed.

Abstract: An approach to generate and execute an e-commerce gift offer for a social network contact as a function of integrating social network data into a web site offering goods or services for sale within a network computing environment is provided. In response to the user selecting an item offered for sale by the web site, aspects search personal data associated with the user that is acquired from a different, social network web site to determine an indication that another user listed within the acquired personal data has an interest in also acquiring the selected item, and present an offer to the user to select the item for an additional gift purchase for such other user as a recipient. Further aspects use the acquired personal data to narrow down retailers to those that provide delivery service to a current residence of the other user for execution of the gift purchase.

Abstract: According to an aspect of an embodiment, a method may include identifying a fault location in a software program using a test suite. The method may further include determining, using machine learning, a repair effectiveness indication that indicates a potential effectiveness of performing a potential repair operation at the fault location. In addition, the method may include prioritizing implementing a repair at the fault location based on the repair effectiveness indication. The method may further include performing repair operations with respect to the software program based on the prioritization of the fault location.

Abstract: According to an aspect of an embodiment, a method may include identifying a fault location in a software program using a test suite. The method may further include determining, using machine learning, a repair effectiveness indication that indicates a potential effectiveness of performing a potential repair operation at the fault location. In addition, the method may include prioritizing implementing a repair at the fault location based on the repair effectiveness indication. The method may further include performing repair operations with respect to the software program based on the prioritization of the fault location.

Abstract: Aspects retrieve, organize and display different classifications of sets of search results in different, respective tabbed sheets that are nested on top of one another in a web-based interface dashboard. A text string search query is classified into constituent primary search terms that are likely to return satisfactory search results as indicated by retrieved search history data as a function of search resources and language classification rules associated with the user identity indicia. Secondary search terms related to the primary search terms and including synonyms and antonyms are determined as substitutes for the primary search terms in response to search history indicating follow-up searches immediately subsequent to searches of the primary search terms at less than a specified threshold of frequency. The set of peripheral knowledge article results is generated by searching knowledge article resources for background information on the primary search terms or the secondary search terms.

Abstract: A method and system. A request to generate for a user a geographical map is received, wherein the map depicts one or more travel routes from a specified initial address to a specified destination address, specified features relating to the one or more travel routes, and unique identifiers of preferred service providers of the specified features. After the request is received, it is ascertained that user preferences of the user for service providers of the specified features are not contained in a user preference database and that user preferences of the user for service providers of the specified features have not been provided with the request. User preferences of the user for service providers of the specified features are determined and in response, the map is generated and displayed.

Abstract: One embodiment of the invention comprises a method including the step of responsive to receiving a map request from a user that pertains to a specified geographical feature, generating a first view that shows the geographical feature. The method further includes specifying each of one or more preference categories of the user, wherein a user preference is needed for each category, in order to show an additional feature corresponding to each user preference on a map view which includes the geographical feature. The method further includes determining the user preference for each category, wherein at least one of the user preferences is determined from information obtained by accessing an online social network in which the user participates. Each determined user preference is used with one or more search engines in order to acquire information for use in generating each of the additional features for a map view.

Abstract: Aspects retrieve, organize and display different classifications of sets of search results in different, respective tabbed sheets that are nested on top of one another in a web-based interface dashboard. A text string search query is classified into constituent primary search terms that are likely to return satisfactory search results as indicated by retrieved search history data as a function of search resources and language classification rules associated with the user identity indicia. Secondary search terms related to the primary search terms and including synonyms and antonyms are determined as substitutes for the primary search terms in response to search history indicating follow-up searches immediately subsequent to searches of the primary search terms at less than a specified threshold of frequency. The set of peripheral knowledge article results is generated by searching knowledge article resources for background information on the primary search terms or the secondary search terms.

Abstract: Aspects retrieve, organize and display different classifications of sets of search results in different, respective tabbed sheets that are nested on top of one another in a web-based interface dashboard. A text string search query is classified into constituent primary search terms that are likely to return satisfactory search results as indicated by retrieved search history data as a function of search resources and language classification rules associated with the user identity indicia. Secondary search terms related to the primary search terms and including synonyms and antonyms are determined as substitutes for the primary search terms in response to search history indicating follow-up searches immediately subsequent to searches of the primary search terms at less than a specified threshold of frequency. The set of peripheral knowledge article results is generated by searching knowledge article resources for background information on the primary search terms or the secondary search terms.

Abstract: A first computer identifies electronic commerce activity related to a first user. The first computer retrieves a first data, wherein the first data is coupled to the electronic commerce activity. The first computer analyzes the first data and generates a second data. The first computer generates an electronic commerce display for a social network platform using the second data, wherein the electronic commerce display includes at least one timeline of the electronic commerce activity of the first user.

Abstract: A smart calendar system, method and program product that integrates disparate sets of data to identify scheduling conflicts and generate scheduling suggestions. The smart calendar system includes the following: a database for storing activity data associated with a user, wherein the activity data includes items scheduled for the user; an interface for receiving and storing profile data associated with the user; an analysis engine that includes: a system for selecting and interfacing with a plurality of external knowledge databases to obtain knowledge data associated with the user; a system that integrates the profile data, activity data, and knowledge data into a collection of integrated scheduling information; a suggestion system that suggests modifications to the items scheduled for the user, based on the integrated scheduling information; and a conflict system that identifies potential conflicts in the items scheduled for the user, based on the integrated scheduling information.

Abstract: Aspects retrieve, organize and display different classifications of sets of search results in different, respective tabbed sheets that are nested on top of one another in a web-based interface dashboard. A text string search query is classified into constituent primary search terms that are likely to return satisfactory search results as indicated by retrieved search history data as a function of search resources and language classification rules associated with the user identity indicia. Secondary search terms related to the primary search terms and including synonyms and antonyms are determined as substitutes for the primary search terms in response to search history indicating follow-up searches immediately subsequent to searches of the primary search terms at less than a specified threshold of frequency. The set of peripheral knowledge article results is generated by searching knowledge article resources for background information on the primary search terms or the secondary search terms.

Abstract: Aspects retrieve, organize and display different classifications of sets of search results in different, respective tabbed sheets that are nested on top of one another in a web-based interface dashboard. A text string search query is classified into constituent primary search terms that are likely to return satisfactory search results as indicated by retrieved search history data as a function of search resources and language classification rules associated with the user identity indicia. Secondary search terms related to the primary search terms and including synonyms and antonyms are determined as substitutes for the primary search terms in response to search history indicating follow-up searches immediately subsequent to searches of the primary search terms at less than a specified threshold of frequency. The set of peripheral knowledge article results is generated by searching knowledge article resources for background information on the primary search terms or the secondary search terms.