Method and system for dynamic trust model for personalized recommendation system in shared and non-shared economy

US11004006B2 · kind B2 · utility

Assignee

• Conduent Business Services, LLC · US

Inventors

• Jayati Bandyopadhyay · Savanuru, IN
• Nupur Labh · Savanuru, IN
• Simarjot Kaur · Savanuru, IN
• Arun Rajkumar · Chennai, IN
• Saurabh Srivastava · Baltimore, US
• Saurav Bhattacharya · Savanuru, IN
• Neha Singh · Bengaluru, IN

Key dates

• Filing date: Aug 30, 2018
• Grant date: May 11, 2021
• Expiry date: Oct 27, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/08
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Methods and systems for personalized trust recommendation based on a dynamic trust model. In an example embodiment, a trust framework can be derived from a set of use-case specific factors. Invasive data and non-invasive data can be collected from a user (or a group of users) based on activity data and profile data associated with the user. A dynamic trust profile can be created (or learned) based on the invasive data and the non-invasive data collected from the user. A recommended level of trustworthiness can be then provided to the user respect to a particular situation and/or entity (e.g. other users) within the trust framework based on the dynamic trust profile of the user and which is personalized for the user.