Abstract: A computer-implemented method for filtering search engine results for a user is provided. The method includes maintaining a filtration layer that is opted into by a search engine and a client device. The method further includes building a user search interaction model, operatively coupled to the filtration layer, based on a user's profile and historic search results by performing a topic analysis on a user's interactions with the historic search results and selecting a subset of relevant topics based on respective amounts of user interaction. The user interaction includes interactions on a plurality of different devices. The method also includes filtering search results produced for a particular user search query on the client device using the user search interaction model and the filtration layer.

Abstract: Computer technology for performing a download of a set of file(s) by multiple computer devices. Different computer devices respectively download different parts of the set of files and respectively encapsulate them with file wrappers to create multiple “sealed off portions.” Each sealed off portion indicates what portion of the code of the set of file(s) is in that sealed off portion. The multiple sealed off portions are transferred (for example, over a local area network) to another computer device, which may, or may not, be one of the multiple computers that created one of the sealed off portions, and this computer device assembles the sealed off portions to re-create the set of file(s).

Abstract: Computer-implemented methods, computer program products, and computer systems for mitigating frequency loss may include one or more processors configured for receiving first audio data corresponding to unobstructed user utterances, receiving second audio data corresponding to first obstructed user utterances, generating a frequency loss (FL) model representing frequency loss between the first audio data and the second audio data, receiving third audio data corresponding to one or more second obstructed user utterances, processing the third audio data using the FL model to generate fourth audio data corresponding to a frequency loss mitigated version of the second obstructed user utterances, and transmitting the fourth audio data to a recipient computing device. The first obstructed user utterances are obstructed by a facemask and the one or more second obstructed user utterances is obstructed by the facemask. The FL model may be executed as an audio plugin in a web conferencing program.

Abstract: Embodiments for managing potential customers by one or more processors are described. An identification of a potential customer for a vendor is received. A risk level associated with the potential customer is determined based on customer data from at least one data source associated with the potential customer. A signal representative of the determined risk level associated with the potential customer is generated.

Abstract: A method, a computer system, and a computer program product for managing content relevancy is provided. Embodiments of the present invention may include collecting and analyzing a plurality of data, wherein the plurality of data includes document data, document access data and user data. Embodiments of the present invention may include retrieving topic model content based on the plurality of data. Embodiments of the present invention may include building a machine learning (ML) model to determine one or more topics contained in the topic model content. Embodiments of the present invention may include generating a heatmap based on the user data. Embodiments of the present invention may include building a content relevancy model (CRM) based on the ML model and the heatmap. Embodiments of the present invention may include determining an action state for the document data. Embodiments of the present invention may include storing the CRM.

Abstract: A ticket relating to a software event is received in a software development system. One or more public forums on software development is searched for the software event. Two or more topics on the software event are identified from one or more conversations from the one or more public forums that regard the software event. Two or more causes of the software event are determined by analyzing interrelations of the two or more topics.

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: Methods, computer program products, and systems are presented. The methods include, for instance: inputs of emotion time series data of a user and environmental factor data from one or more data collection device for a user assistance service. A baseline emotion time series is generated and an environmental factor that is likely to have affected changes in state of emotion on a subject is identified by regression analysis. An emotion time series model for the identified environmental factor is produced and prediction of a path to attain a target state of emotion at a certain time in the future is made. Recommendation to achieve the target state of emotion is produced based on the predicted path.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: inputs of emotion time series data of a user and environmental factor data from one or more data collection device for a user assistance service. A baseline emotion time series is generated and an environmental factor that is likely to have affected changes in state of emotion on a subject is identified by regression analysis. An emotion time series model for the identified environmental factor is produced and prediction of a path to attain a target state of emotion at a certain time in the future is made. Recommendation to achieve the target state of emotion is produced based on the predicted path.

Abstract: Embodiments for providing demographic reach with anonymity by a processor. User data access may be managed via a data access agent by generating a unique user privacy profile having a selected level of anonymity for each relationship between a user and an application service.

Abstract: A method, computer system, and a computer program product for directed calendaring is provided. The present invention may include generating a topic model for each of a plurality of previously conducted meetings based on calendar data for a plurality of users. The present invention may include receiving a scheduled meeting, the scheduled meeting including an initial recipient list. The present invention may include generating a new topic model for the scheduled meeting. The present invention may include identifying a previous meeting with a highest similarity score between the topic model and the new topic model for each of the plurality of users. The present invention may include adjusting the initial recipient list of the scheduled meeting based on a transition matrix.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for naming a digital file. The exemplary embodiments may include detecting a user saving an unnamed digital file to a digital folder, extracting one or more first features from data collected from one or more named digital files within the digital folder, generating one or more models correlating the extracted one or more first features with one or more names of the one or more named digital files, extracting one or more second features from the unnamed digital file, and determining a name for the unnamed digital file based on applying the one or more models to the extracted one or more second features.

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: 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: 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: An approach for directing a chat agent for an online discussion is provided. A processor retrieves message data from a messaging program. A processor identifies at least one topic present in the message data. A processor, responsive to a determination that the at least one topic is a primary topic, updates the chat agent with the primary topic. A processor modifies message data based on the determined primary topic.

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: Computer-implemented methods, computer program products, and computer systems for mitigating frequency loss may include one or more processors configured for receiving first audio data corresponding to unobstructed user utterances, receiving second audio data corresponding to first obstructed user utterances, generating a frequency loss (FL) model representing frequency loss between the first audio data and the second audio data, receiving third audio data corresponding to one or more second obstructed user utterances, processing the third audio data using the FL model to generate fourth audio data corresponding to a frequency loss mitigated version of the second obstructed user utterances, and transmitting the fourth audio data to a recipient computing device. The first obstructed user utterances are obstructed by a facemask and the one or more second obstructed user utterances is obstructed by the facemask. The FL model may be executed as an audio plugin in a web conferencing program.

Abstract: Disclosed embodiments provide techniques for improved call quality during telephony sessions. The speech quality of an active voice session is periodically evaluated using multiple noise reduction algorithms. In an instance where the speech quality of the currently used noise reduction algorithm is below the quality of another noise reduction algorithm, the telephony system may switch to a new noise reduction algorithm as the currently used (active) noise reduction algorithm in order to improve call quality during an active voice session.

Abstract: Disclosed embodiments provide techniques for improved call quality during telephony sessions. The speech quality of an active voice session is periodically evaluated using multiple noise reduction algorithms. In an instance where the speech quality of the currently used noise reduction algorithm is below the quality of another noise reduction algorithm, the telephony system may switch to a new noise reduction algorithm as the currently used (active) noise reduction algorithm in order to improve call quality during an active voice session.