PREFERENCE-BASED RE-EVALUATION AND PERSONALIZATION OF REVIEWED SUBJECTS

Patent №

US 11,348,145

Granted

2022-05-31

Filed 2018

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16131147

A computer system processes reviews to generate personalized recommendations based on a user's preferences. User preferences relating to a subject category are received. A query is processed to retrieve one or more reviews for a plurality of subjects of the subject category, wherein each review is associated with a review score. Each review score of the one or more reviews for each subject is adjusted based on user preferences for a corresponding subject category and a subject score is calculated based on the adjusted review scores for each subject. A ranked list of subjects is generated according to the subject score of each subject. Embodiments of the present invention further include a method and program product for processing reviews to generate personalized recommendations based on a user's preferences in substantially the same manner described above.

Machine learningNatural languageKnowledge representationPlanningG06Q 30/0282G06F 16/24573G06F 16/24578G06F 16/9536G06Q 30/0627G06Q 30/0631

AI classification

Knowledge representation1.00
Planning1.00
Natural language0.98
Machine learning0.87
AI hardware0.29
Vision0.01
Evolutionary computation0.01
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 468740292

Assignors

D'ALFONSO, FABIO, STURARO, AGOSTINO, LUPINI, FRANCESCO, SESSA, VALENTINA

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

From the same owner

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