CONTEXTUAL RATING SYSTEM WITH STATISTICAL RELIABILITY CONFIDENCE METRIC

Abstract

A system and method for dynamic context-specific rating calculation is disclosed. The system receives a corpus of user reviews and a user-specified context indicator. A filtering module (110) identifies a subset of reviews whose text contains or is semantically relevant to the context indicator, optionally utilizing a Natural Language Processing (NLP) model. Ratings from the filtered subset are extracted and aggregated by a recalculation processor (120), which applies dynamic weighting factors and computes a statistical confidence metric based on the filtered subset's size or variance. The resulting context-specific rating and corresponding confidence metric (130) are displayed to the user, providing a performance metric relevant to a user-defined scenario (e.g., filtering a rating to a “Dinner” or “Service” score).

CPC Classifications