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
Lab
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
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.