Abstract: Techniques are described with respect to a system, method, and computer product for generating relevance alerts. An associated method includes analyzing a multi-party discussion based on a generated profile associated with a user and assigning at least one relevance value associated with the user to the multi-party discussion based on the analysis and an amount of multi-party discussion participation associated with the user. The method further includes generating an alert for the user to participate in the multi-party discussion in response to determining the relevance value exceeding a relevance threshold associated with the multi-party discussion.

Abstract: Dynamically evaluating effectiveness of real-time messages is provided. A scalable signal reconstruction analysis of real-time message content in a question-and-answer format posted in a social network is performed. A message effectiveness evaluator model is generated based on the scalable signal reconstruction analysis of the real-time message content in the question-and-answer format. An effectiveness score corresponding to the real-time message content in the question-and-answer format is generated using the message effectiveness evaluator model.

Abstract: Dynamic chat discourse rephrasing is provided. An analysis is performed of a real-time chat discourse conducted between a plurality of users connected via a network. A discourse comprehension model is generated based on the analysis of the real-time chat discourse. A set of text is rephrased in the real-time chat discourse to decrease user time to comprehend the set of text using the discourse comprehension model.

Abstract: A user is detected navigating to a webpage. A plurality of web elements of the webpage is identified. One or more web elements is determined to have a risk score that surpasses a risk threshold of being a dark pattern. The risk score is identified by analyzing each of the plurality of web elements. A mitigation action configured to counteract the dark pattern is executed in response to the one or more web elements having the risk score that surpasses the risk threshold. The mitigating action is executed substantially immediately upon the user navigating to the webpage.

Abstract: A communication session between two or more computing devices is monitored. One or more share actions, that include one or more media documents, are identified in the communication session responsive to the media documents and based on the monitoring the communication session. Reaction data, that is related to the share actions, in the communication session is analyzed in response the share actions and based on the media documents. One or more relevant media documents are determined based on the analyzing the reaction data. The relevant media documents are analyzed based on the media documents. A first depiction rendered by a first of the devices of the communication session is modified based on the relevant media documents.

Abstract: Systems and methods for generating answers to questions. One method includes receiving a question having question terms; identifying candidate answers to the question having answer terms; searching data sources to determine passages including either a question term or an answer term in the candidate answer; scoring the passages for candidate answers using a scoring mechanism, the scoring mechanism computing a first degree of relevance of the passage to the question terms, computing a second degree of relevance of the passage to the answer terms of one of the candidate answers, and determining a score for the passage by combining the first degree of relevance and the second degree of relevance; ranking candidate answers to the question based on the scores associated with the scoring each of the passages for each of the candidate answers; and providing an answer to the question based on ranking of the candidate answers.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating and transmitting a Personalized Emergency Evacuation Plan (PEEP). The computer receives an emergency condition real-time data from a plurality of building sensors, a tracking data of at least one user from a plurality of tracking sensors, a facility structural data from a facility database, and a stored user data from a user database for the at least one user. The computer generates a personalized emergency evacuation plan (PEEP) for the at least one user, wherein is a set of recommendations to put the user in the safest position, based on at least the emergency condition real-time data and the received stored user data. The computer transmits the PEEP to a user mobile device, wherein the user mobile device presents the PEEP to the at least one user.

Abstract: Systems and methods for generating answers to questions. One method includes receiving a question having question terms; identifying candidate answers to the question having answer terms; searching data sources to determine passages including either a question term or an answer term in the candidate answer; scoring the passages for candidate answers using a scoring mechanism, the scoring mechanism computing a first degree of relevance of the passage to the question terms, computing a second degree of relevance of the passage to the answer terms of one of the candidate answers, and determining a score for the passage by combining the first degree of relevance and the second degree of relevance; ranking candidate answers to the question based on the scores associated with the scoring each of the passages for each of the candidate answers; and providing an answer to the question based on ranking of the candidate answers.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating and transmitting a Personalized Emergency Evacuation Plan (PEEP). The computer receives an emergency condition real-time data from a plurality of building sensors, a tracking data of at least one user from a plurality of tracking sensors, a facility structural data from a facility database, and a stored user data from a user database for the at least one user. The computer generates a personalized emergency evacuation plan (PEEP) for the at least one user, wherein is a set of recommendations to put the user in the safest position, based on at least the emergency condition real-time data and the received stored user data. The computer transmits the PEEP to a user mobile device, wherein the user mobile device presents the PEEP to the at least one user.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating and transmitting a Personalized Emergency Evacuation Plan (PEEP). The computer receives an emergency condition real-time data from a plurality of building sensors, a tracking data of at least one user from a plurality of tracking sensors, a facility structural data from a facility database, and a stored user data from a user database for the at least one user. The computer generates a personalized emergency evacuation plan (PEEP) for the at least one user, wherein is a set of recommendations to put the user in the safest position, based on at least the emergency condition real-time data and the received stored user data. The computer transmits the PEEP to a user mobile device, wherein the user mobile device presents the PEEP to the at least one user.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating and transmitting a Personalized Emergency Evacuation Plan (PEEP). The computer receives an emergency condition real-time data from a plurality of building sensors, a tracking data of at least one user from a plurality of tracking sensors, a facility structural data from a facility database, and a stored user data from a user database for the at least one user. The computer generates a personalized emergency evacuation plan (PEEP) for the at least one user, wherein is a set of recommendations to put the user in the safest position, based on at least the emergency condition real-time data and the received stored user data. The computer transmits the PEEP to a user mobile device, wherein the user mobile device presents the PEEP to the at least one user.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for generating and transmitting a Personalized Emergency Evacuation Plan (PEEP). The computer receives an emergency condition real-time data from a plurality of building sensors, a tracking data of at least one user from a plurality of tracking sensors, a facility structural data from a facility database, and a stored user data from a user database for the at least one user. The computer generates a personalized emergency evacuation plan (PEEP) for the at least one user, wherein is a set of recommendations to put the user in the safest position, based on at least the emergency condition real-time data and the received stored user data. The computer transmits the PEEP to a user mobile device, wherein the user mobile device presents the PEEP to the at least one user.

Abstract: Travel itineraries are automatically prepared based upon user interests and sentiments inferred by deep semantic analysis of user-commented and user-preferred digital works of literature by receiving interests and associated sentiment levels for at least one user according to a deep semantic analysis of a plurality of works of literature, wherein the works of literature have been rated, commented, or both rated and commented by the user; searching repositories of travel items to find one or more matching travel items to the received more interests and associated sentiment levels; and preparing at least one travel itinerary including at least one found matching travel item. Travel itineraries may be prepared responsive to a user-initiated trip planning session, responsive to notification of a new travel item's availability, periodically, or a combination thereof.