PROVIDING TARGETED, EVIDENCE-BASED RECOMMENDATIONS TO IMPROVE CONTENT BY COMBINING STATIC ANALYSIS AND USAGE ANALYSIS

Patent №

US 11,244,575

Granted

2022-02-08

Filed 2019

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION

AI components

4

ml · nlp · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16657568

Providing targeted, evidence-based recommendations to improve digital content quality, in one aspect, may include partitioning digital content into a sequence of logical content modules. Quality scores for the logical content modules along a plurality of quality dimensions may be determined. User interactions with the digital content on a user interface are monitored. Raw events generated from user interaction in accessing the digital content are captured. Raw event patterns for the logical content modules are detected. The raw event patterns of user interaction are transformed into a set of dynamic states representing potential user experience and performance. The set of dynamic states are associated with a respective logical content module. The quality dimensions of the logical content modules and associated quality scores are correlated with the dynamic states.

AI classification

Machine learning1.00
Natural language1.00
Planning1.00
AI hardware0.96
Knowledge representation0.46
Vision0.00
Evolutionary computation0.00
Speech0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION

assignment · 507670142

Assignors

CHETLUR, MALOLAN, DEY, PRASENJIT, MOHANIA, MUKESH K., NETI, CHALAPATHY, NITTA, SATYANARAYANA V., SCHLOSS, ROBERT J., SENGUPTA, BIKRAM

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

From the same owner

© 2026 NYSGPT2525 LLC