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

Knowledge representation1.00
AI hardware1.00
Machine learning1.00
Natural language1.00
Planning1.00
Vision0.92
Evolutionary computation0.00
Speech0.00

Ownership

TELEFONICA, S.A.

assignment · 256780297

Assignors

PASCUAL LEO, JUAN MOISES, FRIAS MARTINEZ, ENRIQUE

On an employer assignment, the assignors are typically the inventors.

From the same owner

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