A system, method, and computer-readable storage medium configured to facilitate user purpose in a computing architecture.

An action framework system provides context-based actions in association with a source application. The source application detects selection of a content element presented by the source application. The content element is associated with an application identifier identifying a target application and an action identifier identifying an operation to be executed by the target application on the content element. The target application identified by the application identifier is executed to perform the operation identified by the action identifier on the content element, responsive to detection of the selection of the content element. In one implementation, the source application is a search feature providing different contexts of search results (e.g., from a local file system search, a local application content search, a Web search, a remote application content search).

A computer-implemented method, computer system, and computer program product for contextualizing searches in a collaborative session having two or more users. The method may include generating, by a processor, one or more keywords from user context sources of the collaborative session. Users engaged in the collaborative session may use computing devices interconnected with each other via a collaborative tool. The user context source may comprise a document, a file, a webpage, a search history, or an application. Context of the collaborative session, having a start and stop, may be established using a natural language processing system. The method may include adding one of the one or more keywords to the search string of one of the users participating in the collaborative session. In some embodiments, one user may be an expert user whose user context source may be the only user context source collected and analyzed during the collaborative session.

A mobile apparatus receives a route response including information identifying a starting location and a target location of a route and an encoding data structure encoding the route. The encoding data structure is a probabilistic data structure configured to not provide false negatives. The mobile apparatus uses the information identifying the starting and target locations to identify a decoded origin traversable map element (TME) and a decoded target TME of the mobile version of the digital map for the route; accesses map information for determining a cost value for TMEs of the digital map, wherein a TME that satisfies the encoding data structure is assigned a minimal cost value; determines a decoded route from the decoded starting TME to the decoded target TME based on the cost value assigned to the TMEs using a cost minimization route determination algorithm; and performs at least one navigation function using the decoded route.

A method includes: determining, by the computing device, an activity associated with a physical object in a physical environment, the physical object being a physical object about which a user lacks knowledge; retrieving, by the computing device and from a digital library, a digital object that is associated with the activity; personalizing, by the computing device, the digital object, the personalizing being based on feedback from prior interactions of the user with the digital object; generating, by the computing device, an augmented reality activity including the determined activity, the augmented reality activity comprising a reactive association between the personalized digital object and the physical object; and generating, by the computing device, an augmented reality animation that comprises the augmented reality activity, the physical object, and the personalized digital object.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving a plurality of snippets of a plurality of user reviews for a product, each respective snippet of the plurality of snippets relating to at least one respective user attribute category of a plurality of user attribute categories; creating a score for each respective snippet of the plurality of snippets based on: a probability of association between at least one user attribute category and one or more seed words, the one or more seed words describing one or more qualities of the product; and facilitating displaying, on a user device of a user, a first snippet of the plurality of snippets, the first snippet of the first plurality of snippets having a higher score of the scores for the plurality of snippets than another score of the scores for the plurality of snippets. Other embodiments are disclosed herein.

A device is provided. The device includes a processor and a memory configured to store instructions executable by the processor. The processor is configured to execute the instructions to extract context information from displayed data based on an application which is being executed by the device, identify an identifier from the context information, search for at least one recommended contact related to the identifier based on the identifier and a relation graph obtained by inputting information regarding a communication between a plurality of users into a first training model for determining an association between the plurality of users, identify a priority of the at least one recommended contact, and control to display the at least one recommended contact according to the priority.

A system for improving a query response includes an interface and a processor. The interface is configured to receive a query. The processor is configured to determine a categorization for the query using a model. The categorization is associated with a confidence value. The processor is configured to a comparison of the confidence value and a first threshold, wherein the first threshold is determined to maximize a metric and modify the query response based at least in part on the categorization and the comparison.

Methods, systems, and computer program products for generating explanations for a semantic parser are provided herein. A computer-implemented method includes providing to a generative model (i) at least one query and (ii) a context of at least one dataset applicable to the at least one query, wherein the generative model generates a plurality of perturbations for the at least one input query based on the context; providing the plurality of perturbations as inputs to a context aware sequence-to-sequence model, thereby obtaining a plurality of outputs; and generating, for (i) an additional query provided as input to the context aware sequence-to-sequence model and (ii) a context applicable to the additional query, an explanation indicative of one or more parts of the additional query that contributes to an output corresponding to the additional query, based at least in part on the plurality of outputs corresponding to the perturbations.

An information handling system receives a search query determines a first key attribute associated with a first search term and a second key attribute associated with a second search term, determines an intent of a user and context of the search query based on the first key attribute, and determines whether the search result corresponding to the search query includes an image with a first feature corresponding to the first key attribute and a second feature corresponding to the second key attribute. Responsive to a determination that the search result does not include the image with the first feature and the second feature, the system may generate a clubbed image that includes a first image and a second image, wherein the first image includes the first feature and the second image includes the second feature.