CONTENT RECOMMENDATION TECHNIQUES WITH REDUCED HABIT BIAS EFFECTS

Patent №

US 11,190,843

Granted

2021-11-30

Filed 2020

Owner

AT&T INTELLECTUAL PROPERTY I, L.P.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16863139

Aspects of the subject disclosure may include, for example, identifying content consumption data associated with media content consumption at a customer device, and generating a content selection recommendation for the customer device. Some embodiments can include determining a habit-based content selection vector for the customer device. Various embodiments can include determining the habit-based content selection vector based on a habit profile for the customer device. Some embodiments can include adjusting a content selection vector for the customer device based on the habit-based content selection vector for the customer device. Various embodiments can include generating the content selection recommendation for the customer device based on the adjusted content selection vector. Other embodiments are disclosed.

Machine learningNatural languageKnowledge representationPlanningAI hardwareH04N 21/4666G06N 5/04G06N 20/00G06Q 20/123G06Q 20/405G06Q 30/0201G06Q 30/0631H04N 21/251+7 more

AI classification

Planning1.00
Machine learning0.99
Knowledge representation0.96
Natural language0.95
AI hardware0.51
Evolutionary computation0.16
Vision0.13
Speech0.12

Ownership

AT&T INTELLECTUAL PROPERTY I, L.P.

assignment · 544550142

Assignors

RUSTAMOV, RAIF, PRAKASAM, APPAVU SIVA, VOLINSKY, CHRISTOPHER, SKUDLARK, ANN EILEEN

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

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