Patents by Inventor Malcolm Benjamin Dias

Malcolm Benjamin Dias has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Purchases method and system
    Patent number: 7983926
    Abstract: In an automated method for providing personalised recommendations to a user, a global probabilistic purchase model based on prior interactions of a group of users of a system, is used in the generation of personalised recommendations for future purchases for a given user. Attributes of the given user are used to identify characteristics relating to the user's personal purchasing, correction factors are calculated to update the output of the global probabilistic purchase model to personalise the recommendations for the user.
    Type: Grant
    Filed: June 8, 2007
    Date of Patent: July 19, 2011
    Assignee: Conopco, Inc.
    Inventors: Iqbal Adjali, Malcolm Benjamin Dias, Wael El-Deredy, Carmen Maria Sordo-Garcia, Ming Li, Paulo Jorge Lisboa Gomes
  • Automated auctioning method for market evaluation
    Publication number: 20090006242
    Abstract: In an automatic auctioning method for determining market valuations, the auction process operates in two rounds, whereby the first round is a “sealed bid first price” auction while the second round is an “ascending price” auction. All bids and the winners of both rounds are kept confidential until the second round is completed. Data on bids made and consequential winning results are analysed and processed.
    Type: Application
    Filed: June 29, 2007
    Publication date: January 1, 2009
    Inventors: Iqbal Adjali, Malcolm Benjamin Dias, Abhijit Sengupta
  • Purchases method and system
    Publication number: 20080306808
    Abstract: In an automated method for providing personalised recommendations to a user, a global probabilistic purchase model based on prior interactions of a group of users of a system, is used in the generation of personalised recommendations for future purchases for a given user. Attributes of the given user are used to identify characteristics relating to the user's personal purchasing, correction factors are calculated to update the output of the global probabilistic purchase model to personalise the recommendations for the user.
    Type: Application
    Filed: June 8, 2007
    Publication date: December 11, 2008
    Inventors: Iqbal Adjali, Malcolm Benjamin Dias, Wael El-Deredy, Carmen Maria Sordo-Garcia, Ming Li, Paulo Jorge Gomes Lisboa