ONLINE REVIEW ASSESSMENT USING MULTIPLE SOURCES

Patent №

US 10,089,660

Granted

2018-10-02

Filed 2015

Owner

THE REGENTS OF THE UNIVERSITY OF NEW MEXICO

+1 more

Lab

AI components

7

ml · nlp · vision · speech · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14849227

Multiple sources of reviews for the same product or service (e.g. hotels, restaurants, clinics, hair saloon, etc.) are utilized to provide a trustworthiness score. Such a score can clearly identify hotels with evidence of review manipulation, omission and fakery and provide the user with a comprehensive understanding of the reviews of a product or establishment. Three types of information are used in computing the score: spatial, temporal and network or graph-based. The information is blended to produce a representative set of features that can reliably produce the trustworthiness score. The invention is self-adapting to new reviews and sites. The invention also includes a validation mechanism by crowd-sourcing and fake review generation to ensure reliability and trustworthiness of the scoring.

AI classification

Planning1.00
Natural language1.00
Knowledge representation1.00
Machine learning1.00
Speech1.00
Vision1.00
AI hardware0.86
Evolutionary computation0.02

Ownership

THE REGENTS OF THE UNIVERSITY OF NEW MEXICO

assignment · 467220922

STC.UNM

assignment · 467220963

Assignors

FALOUTSOS, MICHALIS, MINNICH, AMANDA, LUAN, SHUANG, MUEEN, ABDULLAH

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

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