Abstract: Methods, systems and computer program products for providing a customized display of social media content are provided. Aspects include notifying a user of a social media service of a social media post. Aspects also include receiving an indication from the user that the user dislikes the social media post. Aspects further include modifying a viewing permission of the social media post to prevent the social media post from being displayed in a news feed of one or more friends of the user.

Abstract: Methods, systems and computer program products for providing a customized display of social media content are provided. Aspects include receiving a plurality of social media posts that have been published for display by a social media service. Aspects also include receiving a profile associated with a user of the social media service including social media post filtering preferences. The social media post filtering preferences are created based at least in part upon an analysis of social media posts that were previously disliked by the user. Aspects further include identifying a set of acceptable social media posts and a set of unacceptable social media posts. Aspects also include causing the set of acceptable social media posts to be displayed in a news feed window of the social media service in association with an account of the user of the social media service.

Abstract: A communication device, computer program product and method of monitoring text at a communication device. The communication device includes an input device and a processor. The input device receives a text input from a user of the communication device. The processor operates a cognitive engine that determines a sentiment of the text, and displays a visual indicator based on the determined sentiment.

Abstract: Aspects of the invention include retrieving, by a processor, a list of participants invited to a meeting, the list of participants including a first participant and a second participant. It is determined, by the processor, whether the first participant has previously interacted with the second participant. Output is provided, by the processor to a user interface of a user device. The output includes information about the second participant based at least in part on determining that the first participant has not previously interacted with the second participant. The output includes information about an interaction between the first participant and the second participant based at least in part on determining that the first participant has previously interacted with the second participant.

Abstract: A computer identifies one or more privacy settings. The computer receives a query for information. The computer determines whether a response to the query satisfies the one or more privacy settings. If the computer determines that the response to the query does not satisfy the one or more privacy settings, the computer alters the response to satisfy the one or more privacy settings.

Abstract: A computer identifies one or more privacy settings. The computer receives a query for information. The computer determines whether a response to the query satisfies the one or more privacy settings. If the computer determines that the response to the query does not satisfy the one or more privacy settings, the computer alters the response to satisfy the one or more privacy settings.

Abstract: Provided are embodiments including a method, system, and computer program product for identifying how to deliver advertisements to a user based on the user sentiment and learned behavior. The embodiments provide for collecting information on the sentiment of a user, monitoring user interactions based at least in part on the collected emotional information on the sentiment of the user, and determining a pattern of user interactions with one or more applications of a user device based on the sentiment information. The embodiments also provide for determining a pattern of user responses to an advertisement based on the sentiment information, and generating a profile based at least in part on the pattern of user interactions and the pattern of user responses.

Abstract: Provided are embodiments for a method, system, and computer program product for controlling delivery of advertisements based on user sentiment. The embodiments provide for receiving user information for a user, receiving an advertisement based at least in part on the user information, and detecting a sentiment of the user, wherein detecting the sentiment utilizes one or more sensors to determine a sentiment of the user. The embodiments also provide for inhibiting transmission of the advertisement based at least in part on the detected sentiment, and providing a recommendation of a time to deliver the advertisement to the user based at least in part on the detected sentiment.

Abstract: An example computer-implemented method includes receiving a first plurality of images from a first user device and a second plurality of images from a second user device. The method further includes performing image processing on the first plurality of images and the second plurality of images. The method further includes comparing the first plurality of images to the second plurality of images based at least in part on the image processing to determine whether an overlap exists between at least one of the first plurality of images and at least one of the second plurality of images. The method further comprises creating a virtual container to group the at least one of the first plurality of images and the at least one of the second plurality of images.

Abstract: Aspects of the invention include providing cognitive contact assistance with dynamically generated contact lists for messages. Providing cognitive contact assistance includes performing by a processor, prior to a message created by a user being sent to a user interface of an intended recipient of the message: identifying content of the message; dynamically generating a contact list based at least in part on the content; and augmenting the message with the contact list. The augmented message is sent to the user interface of the intended recipient of the message.

Abstract: Examples of techniques for facilitating proximity based connections at an event are disclosed. Aspects include obtaining registration information for an attendee at the event, the registration information including personal information of the attendee, an identification number of the attendee, and an event goal for the attendee. Aspects also include instructing a mobile device of the attendee to broadcast the identification number of the attendee. Aspects further include receiving, from the mobile device of the attendee, identification numbers of other attendees at the event in proximity to the attendee and obtaining personal information of the other attendees based on the identification numbers. Aspects also include alerting the attendee to connect with one of the one of the other attendees based at least in part on an overlap of the event goal for the attendee and the personal information of the one of the other attendees.

Abstract: Systems, methods, and computer-readable media are described for predicting a neurological injury to a participant in an activity. The activity can be, for example, an athletic activity that involves repeated, high-impact collisions between participants. Sensor data reflecting interactions between participants in the activity is received from various wearable and non-wearable sensors. The sensor data is evaluated in conjunction with a baseline neurological risk profile of a participant to determine a likelihood that the participant has suffered a potential neurological injury. If this likelihood meets a threshold risk level, an onsite request/response test is initiated to glean more information relating to the participant's condition. Response data associated with the onsite test is cognitively evaluated to determine an updated likelihood of neurological injury to the participant and a follow-up action is determined based on the updated likelihood of neurological injury.

Abstract: A computer-implemented method includes training a cognitive engine to recognize a set of tags in customer data, where the set of tags are associated with one or more early-access programs of one or more products. A first set of customer data associated with a first instance of a first early-access program is submitted to the trained cognitive engine, where the first instance is associated with a customer and a first product. A plurality of data packets associated with the tags are received from the trained cognitive engine, responsive to the first set of customer data. The first instance of the first early-access program is reconciled based at least in part on the plurality of data packets.

Abstract: A tracking device is provided and includes a processing unit that is in communication with a networking unit and a memory unit. The memory unit has executable instructions stored thereon, which, when executed, cause the processing unit to control the networking unit to coarsely identify a region currently occupied by a tracked device and determine an accurate location of the tracked device responsive to a predefined event.

Abstract: Embodiments include creating an immersive environment for media playback by synchronizing devices. Aspects include receiving a playback tag set associated with a media item, each tag includes a respective condition, a respective attribute and a respective value of the attribute. Aspects also include determining that the first condition of the first tag is met and instructing one or more devices to apply the first value of the first tag to the first attribute of the first tag. Aspects further include determining that a first device has left a viewing area and tracking a location of the first device. Aspects also include identifying a second device in proximity to the first device and receiving an outside tag set associated with the media item. Aspects further include instructing the second device to apply the first outside value of the first outside tag to the first outside attribute of the first outside tag.

Abstract: The computing device may map the incoming number to a caller data to identify a caller. The computing device may determine, by data analytics, a type of service the user is seeking based on determining that the caller is one or more from a service provider, a company or a cause. The computing device may reject the incoming number based on determining the caller does not correspond to the type of service the user is seeking. The computing device may determine, by data analytics, a relation of the person to the user based on determining the caller is a person and rejects the incoming number based on determining the person is not related to the user.

Abstract: Methods, systems and computer program products for creating customized delivery paths for unmanned aerial vehicle deliveries are provided. Aspects include receiving, from a delivery recipient, one or more delivery locations for a delivery of a package and receiving, from the delivery recipient, a flight plan associated with each of the one or more delivery locations, wherein at least one of the flight plans include an authorized path across a private property. Aspects also include receiving, from the delivery recipient, a set of delivery recipient preferences that are used to determine which of the one or more delivery locations should be used to deliver the package and storing, by a processor in a computer readable medium, the set of delivery recipient preferences for use in determining a delivery location for a package to the delivery recipient.

Abstract: Transferring data between user devices based on a movement of a user is provided. Aspects include monitoring user interaction with a plurality of user devices and detecting movement of the user with sensors of one or more of the plurality of user devices. Aspects also include obtaining user preferences from a user profile and identifying one or more data items to be transferred from a first user device of the plurality of user devices to a second user device of the plurality of user devices based on the user interaction, the detected movement of the user and the user preferences. Aspects further include transferring the one or more data items to be transferred from the first user device of the plurality of user devices to the second user device of the plurality of user devices.

Abstract: The computing device may map the incoming number to a caller data to identify a caller. The computing device may determine, by data analytics, a type of service the user is seeking based on determining that the caller is one or more from a service provider, a company or a cause. The computing device may reject the incoming number based on determining the caller does not correspond to the type of service the user is seeking. The computing device may determine, by data analytics, a relation of the person to the user based on determining the caller is a person and rejects the incoming number based on determining the person is not related to the user.

Abstract: Methods, systems and computer program products for inventory management in a smart store are provided. Aspects include detecting a customer entering the smart store. Based on a determination that the customer has an item sold by the smart store in their possession upon entering the smart store, aspects also include adding the item to a temporary inventory database stored in the memory.