728x90 반응형 AI14 RFM (Recency, Frequency, Monetary) ▤ 목차Understanding RFM Analysis: The Cornerstone of Customer SegmentationIn the fast-paced world of business and marketing, understanding your customers’ behavior is pivotal for crafting strategies that drive engagement and maximize revenue. RFM analysis—a proven customer segmentation method based on Recency, Frequency, and Monetary value—offers a data-driven approach to identifying high-value cu.. 2025. 1. 24. Vehicle Interior Detection (3) ▤ 목차DataData plays a pivotal role in the success of AI-driven solutions, particularly in applications like Socar's vehicle contamination detection project. The quality, quantity, and diversity of data directly influence the performance, accuracy, and reliability of the AI model. In this project, data serves as the foundation for training, validating, and refining the deep learning model, enablin.. 2025. 1. 23. Vehicle Interior Detection (2) ▤ 목차Proof of ConceptResearch and DevelopmentThis section presents the configuration of the project, detailing the data collection strategies, technical methodologies, anticipated outcomes, and a structured implementation plan. The research and development phase is integral to transforming the theoretical concept into a practical, AI-driven solution that addresses the identified challenges effect.. 2025. 1. 22. Vehicle Interior Detection (1) ▤ 목차Proof of ConceptThe Intention of the ProjectThe Socar app facilitates a structured and user-centric workflow that simplifies the car rental process into three main stages: renting, accessing, and returning the vehicle. The first stage, renting a car, begins with clients selecting a date, time, and location that aligns with their travel needs. This step provides flexibility to users, allowing.. 2025. 1. 21. Vehicle Interior Detection (0) ▤ 목차OverviewThe Vehicle Interior Detection project was a company-affiliated initiative designed to explore innovative ways to enhance the company’s application and services by integrating advanced artificial intelligence (AI) systems. The primary objective of this project was to simplify and improve the user experience through the application of AI-driven solutions. The scope of the project is s.. 2025. 1. 16. 2022 LG Uplus AI Ground (1) ▤ 목차ModelingIn this section, we detail the modeling approaches used during the competition, focusing on the development, experimentation, and optimization of two recommendation algorithms: Neural Collaborative Filtering (NCF) and LightGCN.Neural Collaborative Filtering (NCF)NCF PaperNCFMatrix FactorizationOptunaThe Netflix Prize established matrix factorization (MF) as a fundamental technique in.. 2025. 1. 15. 이전 1 2 3 다음 728x90 반응형
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