Abstract: Methods, systems, and computer program products for data filtering with fuzzy attribute association are provided herein. A computer-implemented method includes obtaining one or more rules, specified by an expert, that define a partial ranking of a plurality of fuzzy pairings between (i) a plurality of item attributes for items in a data catalog and (ii) a plurality of user attributes related to said items; generating an interactive session with the expert to resolve one or more ambiguities in the one or more rules; and deriving a scoring function based at least in part on (i) the one or more rules and (ii) the resolved one or more ambiguities, wherein the scoring function generates a comparative score between any two items of said data catalog for a given one of the users associated with the plurality of attributes.

Abstract: One embodiment provides a method, including: obtaining a plurality of previously submitted application documents, wherein each of the previously submitted application documents comprises information provided by a user who initiated a given previously submitted application document; clustering the plurality of previously submitted application documents into clusters of application documents based upon topics of the previously submitted application documents; selecting a representative application document; identifying entities contained within a given representative application document, wherein each of the entities corresponds to information to be entered into a new application document created from the given representative application document; and engaging in a dialogue with a user to create the new application document utilizing a similar representative application document to request information from the user, wherein the similar representative application document comprises a representative application d

Abstract: A form compliance manager configured to create a policy graph corresponding to an electronic image of an offline form and a corresponding instruction set. The form compliance manager further configured to generate an electronically fillable form corresponding to the offline form and including at least a first context cue for a first field in the electronically fillable form. The first context cue can be based on a subgraph of the policy graph associated with the first field, and the subgraph can include field completion information for the first field, field value information for the first field, and field format information for the first field. The electronically fillable form configured to present the first context cue in response to selection of the first field.

Abstract: A form compliance manager configured to create a policy graph corresponding to an electronic image of an offline form and a corresponding instruction set. The form compliance manager further configured to generate an electronically fillable form corresponding to the offline form and including at least a first context cue for a first field in the electronically fillable form. The first context cue can be based on a subgraph of the policy graph associated with the first field, and the subgraph can include field completion information for the first field, field value information for the first field, and field format information for the first field. The electronically fillable form configured to present the first context cue in response to selection of the first field.

Abstract: A method for simplifying user interactions with decision tree dialog managers is provided. The method may include receiving from a client computer, by a server computer, a user input. The server computer may identify one or more candidate nodes of a decision tree corresponding to the received user input. An entropy value may be calculated by the server computer for each of the identified candidate nodes. The server computer may then select a current node from among the candidate nodes, whereby the selected current node has a lowest calculated entropy value. A prompt associated with the selected current node may be transmitted to the user by the server computer.

Abstract: A computer receives a conversational input. The computer detects, based on the conversational input, relevant entities and relevant entity values, wherein the relevant entities and relevant entity values correspond to entities and entity values extracted from a catalog. The computer identifies, based on the relevant entities and relevant entity values, one or more matching products or services. The computer displays the one or more matching products or services. The computer assesses one or more attributes of the matching products or services for refinement. The computer provides one or more attribute refinement options based on the assessed one or more attributes. The computer receives user refinement in response to providing the one or more attribute refinement options. The computer receives a product or service selection.

Abstract: An approach is provided in which a system provides a question and a set of options to a user. The question corresponds to a first node in a decision tree and at least a portion of the options correspond to nodes that are directly connected to the first node. The system determines that the user's response corresponds to a second node that is different than one of the directly connected nodes and, in turn, displays a second question to the user corresponding to the second node.

Abstract: Two or more variables in a source code are determined. One or more variable groupings for the two or more variables are determined. A potential error for a variable of the two or more variables is determined based on the determined variable groupings.

Abstract: A method for simplifying user interactions with decision tree dialog managers is provided. The method may include receiving from a client computer, by a server computer, a user input. The server computer may identify one or more candidate nodes of a decision tree corresponding to the received user input. An entropy value may be calculated by the server computer for each of the identified candidate nodes. The server computer may then select a current node from among the candidate nodes, whereby the selected current node has a lowest calculated entropy value. A prompt associated with the selected current node may be transmitted to the user by the server computer.

Abstract: Two or more variables in a source code are determined. One or more variable groupings for the two or more variables are determined. A potential error for a variable of the two or more variables is determined based on the determined variable groupings.