Patent · US Active

Methods and systems for personalizing user experience based on attitude prediction

US9092757B2 · kind B2 · utility

4Cited by
0References
21Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMay 9, 2012
Grant dateJul 28, 2015
Priority date
Expiry dateJan 11, 2033

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q30/02
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

The disclosure herein relates to a system and method for personalizing an online experience of a user based on the user's attitude. Attitude models are constructed from user activity data that are able to infer or determine attitudes for a user. Based on the attitudes derived from applying the attitude models, attitude profiles are created for the users. As a users engage in various types of online interactions, the attitude profiles associated with the users can be utilized to personalize the online experience of the user.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.