Content Recommendation System Using a Neural Network Language Model

Patent №

US 9,934,515

Granted

2018-04-03

Filed 2016

Owner

GOOGLE INC.

AI components

5

ml · nlp · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15370247

The present disclosure relates to applying techniques similar to those used in neural network language modeling systems to a content recommendation system. For example, by associating consumed media content to words of a language model, the system may provide content predictions based on an ordering. Thus, the systems and techniques described herein may produce enhanced prediction results for recommending content (e.g. word) in a given sequence of consumed content. In addition, the system may account for additional user actions by representing particular actions as punctuation in the language model.

Machine learningNatural languageSpeechKnowledge representationAI hardwareG06Q 30/0255G06F 16/3322G06F 16/951G06F 16/954G06F 40/274G06F 40/284G06F 40/40G06N 3/02+7 more

AI classification

Natural language1.00
Machine learning1.00
Speech1.00
AI hardware1.00
Knowledge representation0.87
Vision0.22
Planning0.01
Evolutionary computation0.00

Ownership

GOOGLE INC.

assignment · 408310903

Assignors

ANDERSON, GLEN, SCHUSTER, MICHAEL

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

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