IDENTIFYING AND ASSIGNING METRICS TO INFLUENTIAL USER GENERATED CONTENT

Patent №

US 9,762,428

Granted

2017-09-12

Filed 2013

Owner

BAZAARVOICE, INC.

Lab

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

13739950

Techniques for collecting data indicative of one or more browsing behaviors (e.g., completing a transaction on a website) are described. User generated content (UGC) that affects user behavior may be identified, such as product reviews that, if read by a user, are statistically more likely to cause that user to make a purchase. A metric may be assigned to particular user generated content, where the metric indicates an extent to which the particular user generated content is associated with a particular browsing behavior. Based on the assigned metric, particular UGC may be included in a web page. For example, the product review that is most likely to cause a user to make a purchase may be placed in a prominent location on a web page in order to increase sales and revenue. Browsing behaviors may be positive or negatively associated, and metrics assigned to UGC may be based on visibility.

AI classification

Natural language1.00
Knowledge representation1.00
AI hardware0.96
Machine learning0.92
Planning0.84
Evolutionary computation0.27
Vision0.01
Speech0.00

Ownership

BAZAARVOICE, INC.

assignment · 298510179

Assignors

EASTHAM, GARRETT, WONG, OLIVER, CHEN, ANDREW

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

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