Abstract: An approach for identifying mitigation solution based on critical situations is disclosed. The approach includes detecting one or more critical situations associated within a structure and detecting one or more location of one or more users in the structure. The approach retrieves a user-knowledge corpus based on one or more smart IoT devices or from existing database. Furthermore, the approach retrieves a critical situation knowledge corpus from various servers and creates risk mitigation action plans to address the one or more critical situations. The approach selects an optimal plan, by leveraging machine learning through combinatorial optimization technique, from the existing risk mitigation action plans and executing the optimal plan.

Abstract: A method includes providing a smart contact lens including an array of beamforming microphones, wherein the smart contact lens is worn by a user and the array of beamforming microphones receive sound from different directions, determining a gaze direction of the user, filter the sound received by the array of beamforming microphones based on the gaze direction of the user to determine filtered sound, and output the filtered sound via a bone conduction hearing device.

Abstract: A component-based review system for generating a digital recommendation is provided. A computing device monitors for one or more consumer-based reviews. A computing device identifies one or more commercial products or services associated with the one or more consumer-based reviews. A computing device generates a digital recommendation associated with the one or more consumer-based reviews.

Abstract: A method can include obtaining access code data corresponding to an access code transmitted to a user device. The method can further include monitoring the user device. The method can further include determining, based on the monitoring, that the access code is shared. The method can further include initiating, in response to the determining that the access code is shared, an invalidation of the access code.

Abstract: Provided are a computer program product, system, and method for generating in a gaze tracking device augmented reality representations for objects in a user line-of-sight. A determination is made of user coordinates of a user position and coordinates of an axis of a line-of-sight of the user from the gaze tracking device. Requested object information is received indicating objects along the axis of the line-of-sight at different distances from the user position, including a first object in the line-of-sight that is visible to the user at a first distance from the user position and at least one additional object. Each of the at least one additional object is at a further distance from the user position than the first distance. Descriptions of the objects are rendered to the user in a view of the gaze tracking device along the axis of the line-of-sight.

Abstract: Methods, computer program products, and systems are presented.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for determining the context of calls and providing a user interface to a user. The exemplary embodiments may include collecting data from the call, extracting one or more features from the collected data, determining a context of the call based on applying one or more models to the extracted one or more features, and providing a user with a user interface.

Abstract: An approach is provided in which the approach captures a voice command spoken by a user along with a set of data generated from a smart contact lens worn by the user. The approach matches the set of data to a command augmentation indicator that identifies an augmentation to the voice command. The approach aggregates the command augmentation indicator with the voice command into an aggregated command and executes the aggregated command accordingly.

Abstract: Methods, computer program products, and systems are presented.

Abstract: A system for providing a travel recommendation to a user device includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive communications of event data from the user device and generate an event schedule based at least in part on the event data. The at least one processor is also configured to execute the instructions to receive communications of travel context data and generate, using a cascaded machine learning model, a predicted optimal travel itinerary based at least in part on the event schedule and the travel context data. The at least one processor is also configured to execute the instructions to communicate the predicted optimal travel itinerary for reception by the user device.

Abstract: In predictive natural disaster response, a server determines an affected location predicted to be affected by a natural disaster and determines whether the type of natural disaster requires relocation of an animal population at the affected location. When relocation is required, using machine learning models, the server generates a rehabilitation needs prediction for the relocation, determines an optimal location for the relocation from candidate locations, and generates a relocation plan to relocate the animal population from the affected location to the optimal location. When relocation is not required, using the machine learning models, the server generates a demands prediction for products and services at the affected location, generates a supply prediction for the products and the services at the affect location, and generates a supply plan using the demands and supply predictions.

Abstract: Aspects of the present invention disclose a method for computing a refund amount for an item return request based on a real-time quality check using internet of things (IoT) data. The method includes one or more processors detecting a return request of an item. The method further includes retrieving media associated with the item of the return request from one or more IoT enabled devices. The method further includes determining a context of the return request from the retrieved media, wherein the context includes one or more topics of a user interaction. The method further includes determining a state of the item based on the retrieved media, wherein the state of the item indicates a condition of the item. The method further includes determining whether the return request is valid based at least in part on the determined context and the determined state of the item.

Abstract: A computer-implemented method for presenting a companion shopper with one or more additional items to cross-sell and/or up-sell based on selected items of a first user and a predicted checkout time for the first user. The computer-implemented method includes detecting one or more items for purchase associated with the first user, and recognizing a second user paired with the first user. The computer-implemented method further includes determining one or more additional items to present to the second user, based on one or more of the following: the detected one or more items already selected by the first user, one or more item requirements of the second user, and current pricing and available promotions. The computer-implemented method further includes presenting the determined one or more additional items to the second user.

Abstract: A method can include obtaining personal data of a user and generating, based at least in part on the personal data of the user, a taste profile of the user. The taste profile can include a set of food characteristics that corresponds to one or more food preferences of the user. The method can include obtaining contextual data that corresponds to a location of the user. The method can include generating, based at least in part on the taste profile and the contextual data, a food recommendation. The food recommendation can include a predicted food preference of the user. The method can include transmitting the food recommendation to the user.

Abstract: Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises generating a context-based query through based on a received input; finding a result of the generated query using link prediction algorithm coupled with link prefetching algorithm; and generating a specific link that illustrates and matches the generated context-based query.

Abstract: In providing product reviews relevant to a specific user, a server determines that a user is viewing a current product on a website. The website includes a plurality of product reviews for the current product. In response, the server automatically collects criteria specifically for the user, where the criteria describe the current and past website browsing behavior of the user. The server applies weights to one or more of the criteria, where the weights are specific to the user. The server ranks the plurality of product reviews based on the weighted criteria and sends the rankings of the plurality of product reviews to a web server hosting the website. The plurality of product reviews is displayed on the website according to the rankings. The relevancy rankings can vary between users and thus the display of the most relevant product reviews can vary between users.

Abstract: Provided is a method for dynamically displaying product features related to cognitive customer relevant preferences. The method comprises obtaining user data relevant to user preferences regarding product features. The method further comprises generating a ranking of the product features using the obtained user data. The method further comprises generating a user preference profile based on the ranking of the product features. The method further comprises obtaining product data and applying the user preference profile to the obtained product data to generate relevant product content. The method further comprises displaying the relevant product content.

Abstract: A method, computer system, and a computer program product for lifecycle prediction is provided. The present invention may include identifying a unit of a product that has been selected from a store bin. The present invention may include retrieving data from at least one connected Internet of Things (IoT) device and a connected infrared scanner. The present invention may include predicting a lifecycle of the identified unit. The present invention may include displaying the lifecycle on the at least one connected IoT device or the infrared scanner. The present invention may include determining whether the unit is added to a cart. The present invention may lastly include pushing the collected data to a point of sale for generating data at checkout.

Abstract: Using a forecasting model, a timeline of future activities is forecasted. Using a constraints analysis model, a set of profile inputs is analyzed to determine a context of a first period in the forecasted timeline. Using a context extraction model, a first notification from a set of notifications is analyzed to determine a context of the first notification. A degree of correspondence is computed between the context of the first period and the context of the first notification. When the degree of correspondence is at least a threshold degree of correspondence, the first notification is scheduled for presentation during the first period regardless of a time of arrival of the first notification.

Abstract: Embodiments generally relate to validating and controlling social posts. In some embodiments, a method includes receiving, at a social network, a post created by a user. The method further includes determining that the post contains negative sentiments. The method further includes determining that the post is about a business that has subscribed to a post tracking service. The method further includes determining asserted information in the post. The method further includes searching known information that is relevant to the asserted information. The method further includes matching the asserted information against the known information. The method further includes validating the post based at least in part on the matching of the asserted information against the known information. The method further includes disabling an ability of users of the social network to distribute the post if the post is not validated.