The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Aug. 20, 2019
Filed:
Oct. 10, 2016
International Business Machines Corporation, Armonk, NY (US);
Rama Kalyani T. Akkiraju, Cupertino, CA (US);
David Amid, Modiin, IL;
Ateret Anaby-Tavor, Givat Ada, IL;
Jalal U. Mahmud, San Jose, CA (US);
Jerald T. Schoudt, Douglassville, PA (US);
Maria N. Schwenger, Henderson, NV (US);
Vibha S. Sinha, Santa Clara, CA (US);
Thomas G. Zimmerman, Cupertino, CA (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
A mechanism is provided in a data processing system comprising at least one processor and at least one memory, the at least one memory comprising instructions executed by the at least one processor to cause the at least one processor to implement a personalized interactive decision support system. A customer profile generator executing within the personalized interactive decision support system determines a set of traits for at least one customer based on at least one user-generated content source. A personalized product recommendation module executing within the personalized interactive decision support system matches the at least one customer to at least one product within a set of products based on a consumption preferences-to-product attribute mapping data structure to form at least one product recommendation. Each product in the set of products has an associated set of attributes and wherein the consumption preferences-to-product attribute mapping data structure correlates customer traits and consumption preferences and correlates consumption preferences and product attributes. A visual and interactive decision support module executing within the personalized interactive decision support system presents the at least one product recommendation.