CONTENT RECOMMENDATION METHOD AND SYSTEM BASED ON PSYCHOLOGICAL FACTORS FROM A USE PROFILE
Patent №
US 8,560,486
Granted
2013-10-15
Filed 2010
Owner
TELEFONICA, S.A.
Lab
—
AI components
6
ml · nlp · vision · kr · planning · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
12874709
A content recommendation method and system based on psychological factors from a consumption profile of a user which is applied in a website for downloading contents through a mobile telephone communications network includes detecting the consumption profile of the user that accesses the website for downloading contents, using a psychographics driver to calculate a psychological profile of the user according to five super traits of a Big Five model, the psychological profile being stored for use in a current query and subsequent queries, and cross-matching the psychological profile and a content data matrix, predefined in a content database, and obtaining as a result of the cross-matching a preferred access of the user to those contents which best adapt to the psychological profile of the user.
AI classification
Ownership
TELEFONICA, S.A.
assignment · 256780297
Assignors
PASCUAL LEO, JUAN MOISES, FRIAS MARTINEZ, ENRIQUE
On an employer assignment, the assignors are typically the inventors.