This inventor holds 1 USPTO granted patent. Top assignee: Data.ai Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Melania Calinescu and Automated Taxonomy Classification
Introduction
Melania Calinescu is an inventor associated with Data.ai Inc. in San Francisco, California. Her patent work concerns automated methods for classifying online content with taxonomy labels.
Latest Patents
Calinescu is named on 1 patent, titled “Automated Taxonomy Classification System.” The invention assigns taxonomy labels to content items by applying one or more taxonomy models and calculating scores or probabilities for candidate labels. Each model combines multiple sub-models that evaluate different kinds of information, such as a content item’s description, its publisher metrics, and similar content items. The system combines the sub-model outputs to determine label scores and selects a taxonomy label based on those scores.
Career Highlights
The patent reflects work on automated content organization and classification. By drawing on several information sources, the system is designed to support more informed label selection for content in an online system.
Collaborations
Calinescu’s listed coworkers include Xuexin Ren and Han Liu. Her patent is associated with Data.ai Inc.
Conclusion
Melania Calinescu’s patent describes a multi-model approach to assigning taxonomy labels, combining information about content, publishers, and similar items to guide classification.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile