Machine learning models based methods and systems for determining prospective acquisitions between business entities

US12099955B2 · kind B2 · utility

Assignee

• MASTERCARD INTERNATIONAL INCORPORATED · US

Inventors

• Samarth Goel · Gurugram, IN
• Karamjit Singh · Gurugram, IN
• Ajay Panwar · Bhangrola, IN
• Tanmoy Bhowmik · Kanchinakote, IN
• Kamal Kant · Patna, IN
• Aniruddha Mitra · Bhangrola, IN

Key dates

• Filing date: Apr 4, 2022
• Grant date: Sep 24, 2024
• Expiry date: Sep 17, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06Q10/067
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Embodiments provide methods and systems for determining prospective acquisitions among business entities using machine learning techniques. Method performed by server system includes accessing financial data items and news items associated with finances of business entities from data sources for particular time duration. Method includes generating financial and news feature vectors corresponding to business entities and applying machine learning models over financial feature vectors and news feature vectors associated with business entities for determining candidate set of business entities predicted to be engaged in business acquisition in future. Method includes creating dynamic bipartite knowledge graph for each distinct time durations within particular time duration and generating static bipartite knowledge graph based on dynamic bipartite knowledge graphs for distinct time durations. Method includes predicting occurrence of acquisition of at least one business entity of candidate set of business entities based on supervised machine learning model and static bipartite knowledge graph.