Abstract: In an approach to determining the effectiveness of a proposed solution, one or more computer processors monitor real-time communications. The one or more computer processors identify or more topics associated with the monitored real-time communications. The one or more computer processors feed the identified one or more topics and associated real-time communications into a solution efficacy model. The one or more computer processors generate based on one or more calculations by the solution efficacy model, an efficacy rating for the identified real-time communications. The one or more computer processors generate a prioritization of the identified real-time communications based on the generated efficacy rating.

Abstract: In an approach to determining the effectiveness of a proposed solution, one or more computer processors monitor real-time communications. The one or more computer processors identify or more topics associated with the monitored real-time communications. The one or more computer processors feed the identified one or more topics and associated real-time communications into a solution efficacy model. The one or more computer processors generate based on one or more calculations by the solution efficacy model, an efficacy rating for the identified real-time communications. The one or more computer processors generate a prioritization of the identified real-time communications based on the generated efficacy rating.

Abstract: Embodiments relate to an intelligent computer platform to detach content creation from content publication. Content creation is detected prior to the content being published on a platform. One or more publication platforms are monitored in real-time identifying and analyzing published content. A model is derived to infer a temporal delay for publishing the detected content. Publication of the detected content is scheduled based on the derived model and temporal inferred delay. The detected content is then published at a time identified by the inferred delay, wherein publication of the content separates the content creation from the content publishing.

Abstract: A method, computer system, and computer program product for collaborative document relations modeling are provided. The embodiment may include parsing, by a processor, content of a web conference recording document utilizing multi-modal analysis. The embodiment may also include deriving a social meeting bookmark model based on the multi-modal analysis to combine results of the multi-modal analysis into a matrix. The embodiment may further include generating bookmarks of the parsed content based on the derived social meeting bookmark model and the matrix. The embodiment may also include storing the bookmarks and the social meeting bookmark model in a database.

Abstract: Communication between a plurality of users on one or more media platforms is analyzed. A model of the communication that reflects trends of the communication is generated. Using the model, it is determined that a current communication between a first and second user of the media platform is relatively less efficient than a potential communication between the first user and a third user of the media platform. In response to determining that the current communication is relatively less efficient than the potential communication, the current communication is directed to the third person.

Abstract: Stepwise relationship cadence management can include generating a discourse cadence and confidence (DCC) measure based on a response message. The response message is made in replying to an originating message during a multi-party discourse over an electronic communication channel. The DCC measure indicates a likelihood of improving cadence and confidence with respect to an originator of the originating message and is based on a stepwise relational confidence model (SRCM) generated from an analysis of a plurality of prior multi-party discourses. Stepwise relationship cadence management can also include prompting a user to provide a follow-on message in response to determining that the response message made in replying to the originating message is not likely to improve cadence and confidence.

Abstract: Content propagation control can include determining a classification of a message formatted for conveyance over a data communications network. The classification can be based on content of the message and determined using a classification model constructed by analyzing prior message propagation rates and corresponding propagation paths that are each associated with one of multiple message content types. Content propagation control also can include selecting propagation rate and propagation path control indicators based on the classification of the message determined using the classification model and embedding the propagation rate and propagation path control indicators in the message.

Abstract: A method, computer system, and computer program product for collaborative document relations modeling are provided. The embodiment may include parsing, by a processor, a document corpus utilizing topic modeling and distance analysis techniques. The embodiment may also include deriving a collaborative document relational model to combine the results of the parsing into a matrix. The embodiment may further include grouping content of the parsed document corpus through document clustering utilizing the generated collaborative document relational model.

Abstract: In an approach to determining simulation engagement points for long-running threads, one or more chat threads are monitored to create a prior chat discourse. Whether a new author has entered any chat thread is determined based on the prior chat discourse. The prior chat discourse is analyzed using topic modeling techniques to create a corpus of linguistic analysis. A social graph of participants is created in the chat thread based on the prior chat discourse. The social graph of the participants in the chat thread is analyzed using cosine similarity to create an author analysis database. The author posting frequency of the participants in the chat thread is analyzed to create a collection class of the author posting frequency. The optimal in time injection point is established. The new author is injected into the chat thread at the optimal in time injection point.

Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.

Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.

Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.

Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.

Abstract: A user input is detected at a location within a content rendering user interface within which an image is rendered on a display screen. An object is identified, in real time using image recognition technology, within a portion of the rendered image at the location within the content rendering user interface. Individual user information retrieval preferences that identify information content of interest to a user are retrieved. Information about the identified object located within the portion of the rendered image that matches the retrieved individual user information retrieval preferences of the user is retrieved. The retrieved information about the identified object that matches the retrieved individual user information retrieval preferences of the user is outputted to the user.