Abstract: A method, computer program product, and a system where a processor(s) generates a digital wardrobe for each user of a set of users. The processor(s) obtains a prospective theme(s) for a given event and a list of participants comprising a portion of the set of users. The processor(s) identify preferences, in the digital wardrobes of the portion of the set of users, relevant to each of the one or more prospective themes for the given event. The processor(s) determine, based on analyzing the relevant preferences in the digital wardrobes of the portion of the set of users, if a consensus exists in the relevant preferences of the portion of the set of users, where the consensus represents a given prospective theme, where the respective relevant preferences for the given prospective theme are aligned across the portion of the set of users. Based on determining that the consensus exists, the processor(s) generates an event theme for the given event, wherein the event theme is the consensus.

Abstract: Techniques for the suggestion and completion of deep learning models are disclosed including receiving a set of data and determining at least one property of the data. A plurality of characteristics of a computing device and a plurality of deep learning models are received and a score for each of the plurality of deep learning models is determined based on the received computing device characteristics and the determined at least one property of the data. The plurality of deep learning models are ranked for presentation to a user based on the determined scores. One or more of the deep learning models are presented on a display based on the ranking. A selection of one of the deep learning models is received and the selected deep learning model is trained using the set of data.

Abstract: Metadata about a movie is retrieved. The metadata includes a plurality of associated viewer responses from at least one previous audience viewing of the video. The plurality of associated viewer responses from the at least one previous audience viewing are associated with one or more segments of the video. A segment of the video associated with a type of viewer reaction based on emotion and sentiment recognition is identified. Additional media content based on the identified video segment is retrieved. A segment of the additional media content that exceeds a threshold of similarity with the segment of the video is determined. A video clip that includes the segment of the additional media content is created.

Abstract: Embodiments describing an approach to evaluate text and image consistency. Receiving one or more images. Receiving one or more text documents. Identifying relevant text in the one or more text documents. Determining the consistency between the one or more images and the one or more text documents. Creating one or more image and text consistency scores based on the determined consistency between the one or more images and the one or more text documents, and outputting the one or more image and text consistency scores for evaluating text and image consistency.

Abstract: Systems and methods are provided to implement intelligent recommendations to users by modeling user profiles through deep learning of multimodal user data. For example, a recommendation computing platform collects multimodal user data from a computing device of a registered user, wherein the multimodal user data include time-series data, unstructured textual data, and multimedia data. A first deep learning classification engine is utilized to extract features from the multimodal user data. A second deep learning classification engine is utilized to generate a profile of the registered user based on the extracted features. A deep recommendation classification engine is utilized to determine a recommendation for the registered user based on the profile of the registered user, wherein the recommendation identifies at least one additional registered user. The recommendation is presented to the registered user on the computing device of the registered user.

Abstract: A technique for instance-specific feature-based cross-document sentiment aggregation includes analyzing input data to determine an entity referenced in the input data. One or more salient features of the entity are identified. Multiple documents that reference the entity are located. The salient features in each of the multiple documents are identified. Respective sentiment values are assigned to each of the salient features identified in the multiple documents. Respective sub-graphs are created for each of the multiple documents. The sub-graphs specify the sentiment values assigned to each of the salient features identified in an associated one of the multiple documents. The assigned sentiment values for each of the salient features are aggregated based on the sub-graphs. Finally, output data that is associated with the input data is generated. The output data provides an indication of the aggregated sentiment value for each of the salient features.

Abstract: Embodiments of the present invention provide a method, a computer program product, and a system for generating a haptic signal representing a fabric composition. Embodiments of the present invention can be used to generate a haptic signal that is based on a user selection. For example, embodiments of the present invention can combine characteristic signals corresponding to a plurality of textiles to generate the haptic signal for output to a haptic device. Embodiments of the present invention can be used to recommend similar fabric compositions based upon similarity between a characteristic signal of a fabric composition and the haptic signal.

Abstract: A computer scans user data for upcoming events and identifies a potential gift giving event from these events using contextual information about the events to determine the events' nature. The computer identifies a plurality of event attendees and analyzes information about two or more of the event attendees. The computer groups a plurality of people into a group of potential gift collaborators, wherein the plurality of people is chosen from the plurality of attendees. The computer generates a first potential gift list. The computer analyzes gift giving abilities of the group members and selects, based partially upon the analysis, a gift giver. The computer generates a second potential gift list with detailed information about one or more potential gifts wherein the gifts are based partially on the first potential gift list. The computer provides at least a portion of the second potential gift list to the selected gift giver.

Abstract: Methods and program products for dynamically managing electronic mail (e-mail) messages. The methods may include evaluating text included in the e-mail message, identifying a future event based on the evaluated text included in the e-mail message, and generating an expiration deadline for the identified future event based on the evaluated text included in the e-mail message. The method may also include determining if the generated expiration deadline for the identified future event has lapsed. If the generated expiration deadline for the identified future event has lapsed, a status of the e-mail message may be dynamically adjusted.

Abstract: Embodiments describing an approach to evaluate text and image consistency. Receiving one or more images. Receiving one or more text documents. Identifying relevant text in the one or more text documents. Determining the consistency between the one or more images and the one or more text documents. Creating one or more image and text consistency scores based on the determined consistency between the one or more images and the one or more text documents, and outputting the one or more image and text consistency scores for evaluating text and image consistency.

Abstract: Methods, systems, and computer program products for log-aided automatic query expansion based on model mapping are provided herein. A computer-implemented method includes generating a vector representation for each of multiple words derived from historical user queries, wherein each of said vector representations is based on one or more system logs; generating a vector representation for each of multiple documents in a corpus of documents related to solutions to one or more hardware problems and/or one or more software problems; generating a vector representation for a user query based on the generated vector representation for each of the multiple words derived from the historical user queries; comparing the vector representation for the user query to the vector representation for each of multiple documents in the corpus; and determining one or more documents from the corpus to output in response to the user query based on said comparing.

Abstract: Embodiments describing an approach to evaluate text and image consistency. Receiving one or more images. Receiving one or more text documents. Identifying relevant text in the one or more text documents. Determining the consistency between the one or more images and the one or more text documents. Creating one or more image and text consistency scores based on the determined consistency between the one or more images and the one or more text documents, and outputting the one or more image and text consistency scores for evaluating text and image consistency.

Abstract: Metadata about a movie is retrieved. The metadata includes a plurality of associated viewer responses from at least one previous audience viewing of the video. The plurality of associated viewer responses from the at least one previous audience viewing are associated with one or more segments of the video. A segment of the video associated with a type of viewer reaction based on emotion and sentiment recognition is identified. Additional media content based on the identified video segment is retrieved. A segment of the additional media content that exceeds a threshold of similarity with the segment of the video is determined. A video clip that includes the segment of the additional media content is created.

Abstract: Metadata about a movie is retrieved. The metadata includes a plurality of associated viewer responses from at least one previous audience viewing of the video. The plurality of associated viewer responses from the at least one previous audience viewing are associated with one or more segments of the video. A segment of the video associated with a type of viewer reaction based on emotion and sentiment recognition is identified. Additional media content based on the identified video segment is retrieved. A segment of the additional media content that exceeds a threshold of similarity with the segment of the video is determined. A video clip that includes the segment of the additional media content is created.

Abstract: Methods and program products for dynamically managing electronic mail (e-mail) messages. The methods may include evaluating text included in the e-mail message, identifying a future event based on the evaluated text included in the e-mail message, and generating an expiration deadline for the identified future event based on the evaluated text included in the e-mail message. The method may also include determining if the generated expiration deadline for the identified future event has lapsed. If the generated expiration deadline for the identified future event has lapsed, a status of the e-mail message may be dynamically adjusted.

Abstract: Aspects include engaging a user in a chat flow by a dialog system. A user sentiment associated with a system response provided by the dialog system as part of the chat flow is determined based on observation of the user. A next system response is rerouted from a planned sequence of the chat flow to a sentiment-based repair sequence to alter content delivered to the user based on a detected aspect of the user sentiment.

Abstract: Methods, systems, and computer program products for transferring context with delegation are provided herein. A computer-implemented method includes detecting an anticipated unavailability of a first individual for a given future event, based on inputs generated by the first individual and databases of stored calendar information pertaining to the first individual and the given future event; identifying tasks, related to the given future event, requiring a delegation as a result of the anticipated unavailability of the first individual, wherein identifying is based on data related to the given future event; determining additional individuals to whom the tasks can be delegated, based on qualifications of the additional individuals and one or more constraints; generating a summary of the delegation comprising a description of the tasks and information pertaining to the given future event; and outputting the summary to at least one of the additional individuals.

Abstract: A method, computer program product, and a system where a processor(s) generates a digital wardrobe for each user of a set of users. The processor(s) obtains a prospective theme(s) for a given event and a list of participants comprising a portion of the set of users. The processor(s) identify preferences, in the digital wardrobes of the portion of the set of users, relevant to each of the one or more prospective themes for the given event. The processor(s) determine, based on analyzing the relevant preferences in the digital wardrobes of the portion of the set of users, if a consensus exists in the relevant preferences of the portion of the set of users, where the consensus represents a given prospective theme, where the respective relevant preferences for the given prospective theme are aligned across the portion of the set of users. Based on determining that the consensus exists, the processor(s) generates an event theme for the given event, wherein the event theme is the consensus.

Abstract: Methods, systems and computer program products for generating hypergraph representations of dialog are provided herein. A computer-implemented method includes analyzing at least one dialog to identify one or more topics and one or more contributions by one or more persons to the one or more topics, tracking evolution of the identified topics over time in the at least one dialog, generating a hypergraph representation of the at least one dialog utilizing the identified topics, the identified contributions and the tracked evolution of the identified topics, and providing an interactive visualization tool based on the hypergraph representation of the at least one dialog.

Abstract: An indication of water flowing into a fixture and down a drain of the fixture is received. A timer is started. A flow rate and attributes of the water flowing into the fixture are monitored. Attributes of the water flowing through the drain are monitored. A determination is made that the attributes of water flowing into the fixture match, within a threshold, the attributes of water flowing through the drain. A first duration of time of water being wasted is determined. A determination is made that water flowing into the fixture has stopped. A total duration of time of water being wasted, based on at least the first duration of time, is determined. A volume of water being wasted is determined based on the total duration of time and the flow rate.