Abstract: Method and apparatus for generating profiles using machine learning and influencing online interactions are provided. The methods include receiving, from a first user of a plurality of users, a first set of electronic documents, where each electronic document in the first set of electronic documents corresponds to a respective user in the plurality of users. The methods also include identifying a plurality of user profiles, where each of the plurality of user profiles was generated by processing a corpus of electronic documents associated with each respective user using a first trained machine learning model. The methods include determining a plurality of match coefficients, based on comparing a plurality of user profiles associated with each respective user in the plurality of users, filtering the first set of electronic documents based on the plurality of match coefficients, and providing the filtered first set of electronic documents to the first user.

Abstract: Method and apparatus for generating profiles using machine learning and influencing online interactions are provided. The methods include generating a user profile specifying a plurality of attribute values for a plurality of principle attributes, by processing a corpus of electronic documents using a first trained machine learning model. In an embodiment, the method further comprises generating a provider profile specifying a plurality of attribute values for the plurality of principle attributes, for each of a plurality of providers, by processing a respective corpus of electronic documents associated with each respective provider using a second trained machine learning model. A plurality of match coefficients based on comparing the user profile and the plurality of provider profiles are determined. Finally, one or more online interactions between the user and the target provider are influenced based on the determined match coefficients.

Abstract: Embodiments for facilitating recording images to improve quality by a processor. A candidate image of a first device is compared against a database of previously saved images. One of the previously saved images obtained by a second device, and thereby, stored context metadata associated with the one of the previously saved images, is selected. The stored context metadata of the one of the previously saved images is provided to the first device, such that a configuration on the first device is selectable to be changed to match a configuration of the second device used to obtain the one of the previously saved images.

Abstract: A development project method, system, and non-transitory computer readable medium, include a classification circuit configured to classify tasks of a project into a first capability-type executed by a first project development strategy and a second capability-type executed by a second project development strategy, a switch point calculation circuit configured to calculate a switch point based on values stored in the database, the switch point being a time during the project when project development switches between the first project development strategy and the second project development strategy.

Abstract: A computer-implemented method includes: detecting, by a user device, an event that indicates a potential security compromise of the user device; determining, by the user device, a service accessible on the user device; sending, by the user device, a breach notification to a service provider corresponding to the service accessible on the user device; receiving, by the user device, a security profile from the service provider; and restricting, by the user device, access to the service provider by a client of the service provider on the user device until the security profile is satisfied by a user completing a security challenge defined in the security profile.

Abstract: An approach is described for identifying an entity associated with a communication in an online environment. A method pertaining to such approach may include receiving a communication within the online environment. The communication may be received via a communications network. The communication may include a plurality of sequential messages. The method further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The method further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the method may include identifying the entity based upon Bayesian inference. According to an embodiment, determining whether the entity is unambiguously identifiable may include determining whether the entity is among a plurality of participants in the communication.

Abstract: Systems and methods for generating a floating point constant value from an instruction are disclosed. A first field of the instruction is decoded as a sign bit of the floating point constant value. A second field of the instruction is decoded to correspond to an exponent value of the floating point constant value. A third field of the instruction is decoded to correspond to the significand of the floating point constant value. The first field, the second field, and the third field are combined to form the floating point constant value. The exponent value may include a bias, and a bias constant may be added to the exponent value to compensate for the bias. The third field may comprise the most significant bits of the significand. Optionally, the second field and the third field may be shifted by first and second shift values respectively before they are combined to form the floating point constant value.

Abstract: Approaches for automatically and dynamically changing message classification and priority based on Internet-Of-Things (IOT) device publication are provided. A system includes: a CPU, a computer readable memory, and a computer readable storage medium; program instructions to receive a device status message from an Internet-of-Things (IOT) device; program instructions to determine a categorization of the device status message; program instructions to determine a classification of an email message; program instructions to compare the categorization of the device status message to the classification of the email message; and program instructions to assign a priority to the email message based on the comparing. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory.

Abstract: Approaches for automatically and dynamically changing message classification and priority based on Internet-Of-Things (IOT) device publication are provided. A computer-implemented method includes: receiving, by a computer device, a device status message from an Internet-of-Things (IOT) device; receiving, by the computer device, a message from a message server; assigning, by the computer device, a priority to the message based on the device status message from the IOT device; and communicating, by the computer device, the assigned priority of the message to the message server.

Abstract: A method and system of fulfilling a request for a desired photo. A request from a first service subscriber for a desired photo in a first data packet is received. Upon determining that the photo capturing device has the location compatibility and the hardware compatibility to fulfill the request for the desired photo, a fulfillment request is sent in a second data packet to the photo capturing device. Upon receiving a response photo from the photo capturing device, it is determined whether the response photo accommodates the desired photo. Upon determining that the response photo accommodates the desired photo, the response photo is sent to the first service subscriber.

Abstract: Approaches presented herein enable correction of source code that fails to comply with an established coding standard in a code base within an Integrated Development Environment (IDE). Specifically, a non-compliant segment of code, which requires correction, and that was coded by a first developer, is assembled into a stand-alone artifact that is dispatched to a second developer. The code segment is then corrected by the second developer, and the artifact containing the corrected segment is merged back into the code base from when the segment originated. In one approach, the artifact comprises the code segment, dependent code classes of the segment, unit tests results, and test data. In another approach, the second developer is identified utilizing a skill-matching algorithm. In yet another approach, the corrected segment is unit-tested prior to being merged back into the code base.

Abstract: A computer-implemented method includes: detecting, by a user device, an event that indicates a potential security compromise of the user device; determining, by the user device, a service accessible on the user device; sending, by the user device, a breach notification to a service provider corresponding to the service accessible on the user device; receiving, by the user device, a security profile from the service provider; and restricting, by the user device, access to the service provider by a client of the service provider on the user device until the security profile is satisfied by a user completing a security challenge defined in the security profile.

Abstract: Disclosed aspects relate to managing a set of offers using a dialogue. An adaptive profile may be received with respect to a client. The adaptive profile may indicate a set of client profile data, a set of client event data, and a set of client context data. A dialogue may be established with the client based on the adaptive profile. A set of offers may be resolved by an offer management engine based on the dialogue. The set of offers may be presented to the client.

Abstract: A method includes determining, using a processor system, that a portion of media content is objectionable to an audience based at least on a comparison between an identified aspect of the portion of media content and a first set of preferences associated with the audience. The first set of preferences defines a type of media content corresponding to the portion of media content as being objectionable to the audience. The audience is associated with a primary viewing device. The method also includes determining that the portion of media content is not objectionable to a member of the audience based at least on a second set of preferences. The second set of preferences defines the type of media content corresponding to the portion of media content as not being objectionable to the member. The method can transmit the portion of the media content to a secondary display device of the member.

Abstract: An approach is described for identifying an entity associated with a communication in an online environment. An associated system may include a processor and a memory storing an application program, which, when executed on the processor, performs an operation. The operation may include receiving a communication within the online environment. The communication may include a plurality of sequential messages. The operation further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The operation further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the operation may include identifying the entity based upon Bayesian inference.

Abstract: An approach is described for identifying an entity associated with a communication in an online environment. A method pertaining to such approach may include receiving a communication within the online environment. The communication may be received via a communications network. The communication may include a plurality of sequential messages. The method further may include facilitating parsing, via natural language processing, of language in the communication corresponding to an entity and one or more sentiments associated with the entity. The method further may include determining whether the entity is unambiguously identifiable. Upon determining that the entity is not unambiguously identifiable, the method may include identifying the entity based upon Bayesian inference. According to an embodiment, determining whether the entity is unambiguously identifiable may include determining whether the entity is among a plurality of participants in the communication.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.

Abstract: A system includes: a CPU, a computer readable memory and a computer readable storage medium associated with a computer device of a service provider; program instructions to receive, by the computer device, a breach notification from a user device, wherein the user device includes a client that corresponds to the service provider, and the breach notification indicates a potential security compromise of the user device; program instructions to identify, by the computer device, a plurality of user devices that have the client; and program instructions to transmit, by the computer device, a respective security profile to each of the identified plurality of user devices, wherein each of the respective security profiles defines a security challenge that must be completed to obtain access. The program instructions are stored on the computer readable storage medium for execution by the CPU via the computer memory.

Abstract: An approach for integrated development environment (IDE)-based program code library searching and selection in multiple programming languages in a networked computing environment is provided. In a typical embodiment, a search request (e.g., to locate a desired program code library) will be received in an IDE and parsed. The search request generally includes a set of annotations corresponding to at least one of: a primary program code language of the program code library, an alternate program code language of the program code library, or a method pair associated with the program code library. A search of at least one program code library repository will then be conducted based on the set of annotations, and a set of matching results will be generated. The set of matching results may include one or more program code libraries, and may be provided to a device hosting the IDE.

Abstract: A sub-image of data of a first full image may be selected. The sub-image of data may at least partially obscure an object within the first full image. A request to replace the sub-image of data may be transmitted over a network. The request may include transmitting the full image and transmitting metadata associated with the first full image to one or more of a server computing device. The server computing device may analyze a history of images and select one or more images of the history of images that match one or more attributes of the metadata. The server computing device may replace the sub-image of data using the one or more images to generate at least a second full image that includes the object, wherein the object is not obscured. The second full image may be received over the network.