Abstract: A neural network has an input layer, one or more hidden layers, and an output layer. The input layer is divided into a situation context input sublayer, a background context input sublayer (in some embodiments), and an environmental input sublayer. The output layer has a selection/sequencing output sublayer and an environmental output sublayer. Each of the layers (including the sublayers) have a plurality of neurons and each of the neurons has an activation. Situation context, environmental information, and background context can be inputted into the neural network which create an output used to dynamically select and sequence selected storylines that are used to modify a story based on the sentiment, environment, and/or background of the audience.

Abstract: Embodiments for predicting employee performance metrics in a computing environment by a processor. An employee performance is predicted over a selected period of time using a dynamic probabilistic model based on historical data, a time window, current and historical observations of the one or more performance metrics, or a combination thereof.

Abstract: Techniques and systems for facilitating artificial intelligence for interactive preparation of electronic documents are provided. In one example, a system includes a mapping component and a document editing component. The mapping component maps data provided by a recording device into an editing action for an electronic document. The document editing component applies the editing action associated with the recording device to the electronic document to generate a modified version of the electronic document.

Abstract: Embodiments for determining routes by one or more processors are described. A first set of route parameters is received. A second set of route parameters is received. At least one of the first set of route parameters and the second set of route parameters includes a route sharing parameter. A first route and a second route are determined based on the first set of route parameters and the second set of route parameters. The first route includes a first shared portion, and the second route comprises a second shared portion. The first shared portion of the first route is within a predetermined distance of the second shared portion of the second route based on the route sharing parameter.

Abstract: Various embodiments are provided for understanding user sentiment in a dialog system in a computing environment by a processor. A sentiment of a user may be detected according to a sentiment analysis and user feedback during a dialog with the user. One or more reasons for the sentiment of the user may be identified. Behavior of the dialog system may be adjusted according to the one or more reasons.

Abstract: Techniques for efficient retrosynthesis analysis are provided. A computer-implemented method for determining whether a target compound can be synthesized using known pathways for similar compounds includes receiving, by a processor, target compound data including a target compound. The method further includes obtaining, by the processor, a similar compound to the target compound, along with a reaction rule for synthesizing the similar compound. The method further includes applying, by the processor, the reaction rule to the target compound to generate a set of precursors. The method further includes generating, by the processor, a notification based on the set of precursors.

Abstract: Embodiments for implementing intelligent opportunity recommendation and management by a processor. A channel selection model mat be applied to a selected opportunity in view of a plurality of opportunity attributes to identify one or more team candidates of an entity or one or more entity partners ranked by alignment with the selected opportunity and determine a recommended opportunity owner from the one or more team candidates of the entity, the one or more entity partners, or a combination thereof.

Abstract: Embodiments for intelligent career planning actions in a computing environment by a processor. A career planning model may be created for a user according to a career goal, a user profile, and one or more alternative user profiles and historical data of alternative users having achieved the career goal. A career plan may be generated for the user according to the career planning model.

Abstract: Embodiments for intelligent discovery of preferred chemical reaction pathways to a synthesized target compound by a processor. Target compound data of a target compound a user intends to synthesize may be received. A preference score for one or more chemical reaction pathways to the target compound may be calculated based on one or more chemical reactions. One or more preferred chemical reaction pathways to the targeted compound may be determined using a modified retrosynthetic analysis according to the preference score for one or more chemical reactions.

Abstract: Various embodiments are provided for integrating multiple domain learning and personalization in a dialog system for a user in a computing environment by a processor. One or more problem instances may be defined for multiple domains according to a problem instance template, identified user intent, links to one or more problem solvers associated with the multiple domains, or a combination thereof. A dialog plan may be determined to further define the one or more problem instances in response to user input. A solution may be provided to the user for the one or more problem instances.

Abstract: Various embodiments are provided for using a dialog system for integrating multiple domain learning and problem solving for a user in a computing environment by a processor. One or more problem instances may be defined for one or more selected domains in a multi-domain database according to a problem instance template, identified user intent, links to one or more problem solvers associated with the one or more selected domains, or a combination thereof. A dialog plan may be determined for the one or more problem instances using a dialog system associated with the multi-domain database, wherein each record in the multi-domain database corresponds to a selected database for the one or more selected domains. A solution may be provided to the user for the one or more problem instances. One or more preferences of a user may be learned according to the solution.

Abstract: Embodiments for optimizing seating space in a group seating arrangement by a processor. One or more seating preferences and constraints from a user may be received. An optimized seating arrangement in the group seating arrangement, having one or more adjustable seats, may be determined according to the one or more seating preferences and constraints. A user is enabled to select the optimized seating arrangement via a graphical user interface (GUI) such that the one or more adjustable seats in the group seating arrangement are dynamically adjusted according to the optimized seating arrangement and user selection.

Abstract: Embodiments for predicting employee performance metrics in a computing environment by a processor. An employee performance is predicted over a selected period of time using a dynamic probabilistic model based on historical data, a time window, current and historical observations of the one or more performance metrics, or a combination thereof.

Abstract: Embodiments include method, systems and computer program products for identifying abandoned objects. In some embodiments, first visual media data of an object can be received from a first source. The first visual media data of the object can be processed to identify a type of the object. An identifier associated with the type of the object can be generated. The object can be identified in second visual media data received from a second source. A status of the object can be determined based at least in part on at least one abandonment factor derived from the first visual media data and the second visual media data. The identifier associated with the object and a location associated with the object can be added to a list of objects having the same status, based at least in part on the status of the object.

Abstract: A system and method for reaction rules database correction. The method includes receiving a user-input correction to a first reaction rule in a reaction rules database, and locating a second reaction rule in the reaction rules database that is similar to the first reaction rule. The method also includes calculating a correctness score for the second reaction rule, and determining that the correctness score for the second reaction rule is below a threshold correctness score. Additionally, the method includes presenting, in response to the determining that the correctness score for the second reaction rule is below the threshold correctness score, the second reaction rule to a user, receiving a user-input correction to the second reaction rule, and updating the reaction rules database to include the user-input correction to the second reaction rule.

Abstract: Technique to determine relative relevance of pairs of nodes in a linked data graph, such as an RDF graph, including calculation of raw relevance scores (which are based upon adjacency relations between nodes after edge filtering, the incoming and outgoing degrees of nodes in the graph after the edge filtering, and the distance (or weight) values of the edge(s)) and/or “refined relevance scores,” which take into account “complementary nodes.

Abstract: Embodiments for identifying and evaluating white space target entities by a processor. Data may be collected from a knowledge domain relating to a plurality of entities and text data extracted from one or more data sources. An enterprise social network graph may be created having one or more nodes relating to the collected data. The one or more nodes in the enterprise social network graph may be ranked. One or more potential target nodes may be recommended to a selected node as a candidate for establishing a potential relationship according to the ranking.

Abstract: Embodiments for recommending meals by a processor. A collaboration of data capturing a plurality of factors of a group user profile for each user in a group of users may be received for aiding in recommending one or more meals. The one or more meals may be recommended for the group of users according to the group user profile such that the recommending balances a satisfaction level for the one or more meals for the group of users.

Abstract: A method, computer system, and a computer program product for building a team to work on an opportunity is provided. The present invention may include receiving an opportunity signature based on the opportunity. The present invention may include determining a plurality of team roles. The present invention may include selecting a role to fill from the determined plurality of team roles. The present invention may include determining a plurality of candidates, wherein the plurality of candidates includes a plurality of candidate evidence data. The present invention may include selecting a candidate based on the plurality of candidate evidence data. The present invention may include assigning the selected candidate to fill the selected role. The present invention may include iteratively selecting at least one additional role and at least one additional candidate to fill the selected at least one additional role on the team until a stopping criterion is met.

Abstract: Embodiments for determining routes by one or more processors are described. A first set of route parameters is received. A second set of route parameters is received. At least one of the first set of route parameters and the second set of route parameters includes a route sharing parameter. A first route and a second route are determined based on the first set of route parameters and the second set of route parameters. The first route includes a first shared portion, and the second route comprises a second shared portion. The first shared portion of the first route is within a predetermined distance of the second shared portion of the second route based on the route sharing parameter.