| Patent application number | Description | Published |
|---|
| 20090276391 | CREATION OF NEURO-FUZZY EXPERT SYSTEM FROM ONLINE ANALYTICAL PROCESSING (OLAP) TOOLS - A method for automatic generation of a Neuro-Fuzzy Expert System (Fuzzy Logic Expert System implemented as a Neural Network) from data. The method comprising a Data Interface allowing description of location, type, and structure of the Data. The Interface also allows designation of input attributes and output attributes in the Data Structure; automatic Neuro-Fuzzy Expert System generation driven by the Data; Training of the Expert System's Neural Network on the Data and the presentation of results which include new knowledge embedded in the parameters and structure of the trained Neuro-Fuzzy Expert System to a user. | 11-05-2009 |
| 20090292778 | MANAGEMENT SYSTEM FOR A CONVERSATIONAL SYSTEM - The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made. | 11-26-2009 |
| 20110213642 | MANAGEMENT SYSTEM FOR A CONVERSATIONAL SYSTEM - The present invention is uniquely designed to interact with web retailer's customers with real agent reaction times as they give astute answers directly concerning web retailer's products and goals. The entire process is manageable through a third-party website which includes scripting, settings and other parameters selected by the web retailer. An artificial intelligence engine uses the combination of Bayesian probability keyword selection, natural language parsing and regular expression processing. The technology updates its response database with every client interaction-learning always takes place as it simulates a live agent, in real time. Every client interaction is recorded and analyzed, and as a result of the analysis the changes in the answer database are made. | 09-01-2011 |
| Patent application number | Description | Published |
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| 20080256113 | Techniques to associate information between application programs - Techniques to cross-reference information for application programs are described. An apparatus may comprise a first application program to create notes for an operator, a second application program to display a target document, and a context reference module to generate a context reference for the target document indicating a source for the target document, display the context reference, and associate the context reference with a note. Other embodiments are described and claimed. | 10-16-2008 |
| 20080256114 | Techniques to display associated information between application programs - Techniques to cross-reference information for application programs are described. An apparatus may comprise a first application program to create notes for an operator, a second application program to display a target document, and a context generation module to generate a context for a note by displaying a document view for the target document using stored context information when the note is displayed. Other embodiments are described and claimed. | 10-16-2008 |
| 20080270761 | Techniques to generate event contexts for recurring events - Techniques to generate event contexts for recurring events are described. A computer system may comprise a context management module with an event detection module to detect a first occurrence of an event, a context recording module to record context information for the event, the event detection module to detect a second occurrence of the event, and a context generator module to create an event context for the event with the context information during the second occurrence of the event. Other embodiments are described and claimed. | 10-30-2008 |
