METHOD AND APPARATUS FOR ANALYZING MISSING NOT AT RANDOM DATA AND RECOMMENDATION SYSTEM USING THE SAME

摘要

Disclosed are MNAR data analysis methods and apparatuses for analyzing user preference data on products. Also, a product recommendation system using the same is disclosed. A data analysis method based on a binomial mixture model comprises defining a binomial mixture model based data generation model for analyzing user preference data on products; defining a missing data mechanism model for explaining observation and missing of user preference data on the products; learning the data generation model and the missing data mechanism model based on observed user preference data on the products; and determining final preferences on products whose preferences are missing based on the learned data generation model and the learned missing data mechanism model.

主权项

1. A missing not at random (MNAR) data analysis method based on a binomial mixture model, the method comprising:
defining a binomial mixture model based data generation model for analyzing user preference data on products; defining a missing data mechanism model for explaining observation and missing of user preference data on the products; learning the data generation model and the missing data mechanism model based on observed user preference data on the products; and determining final preferences on products whose preferences are missing based on the learned data generation model and the learned missing data mechanism model.