Patents Assigned to The DelFin Project, Inc.
  • Patent number: 8949377
    Abstract: 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.
    Type: Grant
    Filed: April 11, 2011
    Date of Patent: February 3, 2015
    Assignee: The DelFin Project, Inc.
    Inventors: Michael G. Makar, Joseph M. Mosley, Tracy A. Tindall, Gene I. Kofman
  • Publication number: 20140279050
    Abstract: Disclosed is a novel system and process for presenting a customized chatbot. The transaction in one example is a sales transactions. Information is retrieved that is associated with the user or customer. The information includes demographic information of the user or behavioral information of the first party, or a combination of both. A chatbot is presented on the system of the user as of a messaging window of a web page document of an entity selling a good or a service. The messaging window is customized to the end user based on the demographic information of the first party, or the behavioral information of the first party or a combination of both. The messaging window is customized to include one or more of an initial greeting, an appearance of the messaging window, and a picture of an agent.
    Type: Application
    Filed: May 27, 2014
    Publication date: September 18, 2014
    Applicant: THE DELFIN PROJECT, INC.
    Inventors: Michael G. MAKAR, Tracy A. TINDALL
  • Patent number: 8738739
    Abstract: Disclosed is a novel system and process to use information gathered by a chatbot system including explanations why a potential customer is discontinuing a transaction. The transaction in one example is a sales transaction. This information is associated with the potential customer. Using this information, the present invention enhances the message targeting by advertisers and remarketing system for the identified potential customer. The advertisers and remarketing systems use the information from the chatbot system to automatically select messaging and advertisements.
    Type: Grant
    Filed: October 20, 2011
    Date of Patent: May 27, 2014
    Assignee: The Delfin Project, Inc.
    Inventors: Michael G. Makar, Tracy A. Tindall
  • Publication number: 20120095835
    Abstract: Disclosed is a novel system and process to use information gathered by a chatbot system including explanations why a potential customer is discontinuing a transaction. The transaction in one example is a sales transaction. This information is associated with the potential customer. Using this information, the present invention enhances the message targeting by advertisers and remarketing system for the identified potential customer. The advertisers and remarketing systems use the information from the chatbot system to automatically select messaging and advertisements.
    Type: Application
    Filed: October 20, 2011
    Publication date: April 19, 2012
    Applicant: THE DELFIN PROJECT, INC.
    Inventors: Michael G. MAKAR, Tracy A. TINDALL
  • Publication number: 20110213642
    Abstract: 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.
    Type: Application
    Filed: April 11, 2011
    Publication date: September 1, 2011
    Applicant: THE DELFIN PROJECT, INC.
    Inventors: Michael G. MAKAR, Joseph M. MOSLEY, Tracy A. TINDALL, Gene I. KOFMAN
  • Patent number: 7962578
    Abstract: 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.
    Type: Grant
    Filed: May 21, 2008
    Date of Patent: June 14, 2011
    Assignee: The Delfin Project, Inc.
    Inventors: Michael G. Makar, Joseph M. Mosley, Tracy A. Tindall, Gene I. Kofman
  • Publication number: 20090292778
    Abstract: 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.
    Type: Application
    Filed: May 21, 2008
    Publication date: November 26, 2009
    Applicant: THE DELFIN PROJECT, INC.
    Inventors: MICHAEL G. MAKAR, Joseph M. Mosley, Tracy A. Tindall, Gene I. Kofman
  • Patent number: 6708203
    Abstract: A method is illustrated in the flow diagram 100 of FIG. 1. A processor 1001 renders a message 1025 for the processor operator's education during times of processor latency 1015, such as dialing onto any network, such as the Internet. This wait time 1017 is normally non-productive, and therefore can be used in such a way as to be non-invasive. It is also understood that this time is short, so as to make other actions, such as getting up from the desk, not attractive. Finally, even if the wait time was, or became, very short, the present invention provides the first message 1025 to the process operator that has been filtered. This filtering is a balance of the message owner's willingness to out bid other messages, the time of the day, the location of the operator, and finally the operator's likes and dislikes.
    Type: Grant
    Filed: July 6, 1999
    Date of Patent: March 16, 2004
    Assignee: The DelFin Project, Inc.
    Inventors: Michael G. Makar, Joseph M. Mosley, Tracy A. Tindall
  • Patent number: 6564108
    Abstract: A method to present auxiliary lighting for enhancing a scene during a multimedia presentation. The method in photonic enclosure comprising the steps of: coupling one or more illumination sources over a network, so that at least one illumination source of the one or more illumination sources is capable of being uniquely addressed; displaying a multimedia presentation; reading a series of preprogrammed illumination identifiers stored in computer readable medium corresponding with the primary multimedia presentation; interpreting one or more illumination identifiers to set one or more illumination sources for a period of time and to set the address of at least one of the one or more illumination sources; and sending a set signal in response to the interpretation of the one more illumination identifiers to one or more illumination sources over the network. In another embodiment, a gaming helmet is disclosed as the photonic enclosure used to carry out the above method.
    Type: Grant
    Filed: June 7, 2000
    Date of Patent: May 13, 2003
    Assignee: The DelFin Project, Inc.
    Inventors: Michael G. Makar, Joseph M. Mosley, Tracy A. Tindall
  • Patent number: 6067570
    Abstract: A method is illustrated the flow diagram 100 of FIG. 1. A processor 1001 renders a message 1025 for the processor operator's education during times of processor latency 1015 such as dialing onto any network such as the Internet. This wait time 1017 is normally non-productive and therefore can be used in such a way as to be non-invasive. It is also understood that this time is short so as to make other actions such as getting up from the desk not attractive. Finally even if the wait time was or became very short the present invention provides the first message 1025 to the process operator, that has been filtered. This filtering is a balance of the message owner's willingness to out bid other messages, the time of the day, the location of the operator, and finally the operator's likes and dislikes.
    Type: Grant
    Filed: July 10, 1998
    Date of Patent: May 23, 2000
    Assignee: The Delfin Project, Inc.
    Inventors: Vadim Kreynin, Joseph M. Mosely, Michael G. Makar