Essays about: "Item Classification"
Showing result 1 - 5 of 17 essays containing the words Item Classification.
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1. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. READ MORE
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2. After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening
University essay from Lunds universitet/ProduktionsekonomiAbstract : Title: After-Market Spare Parts Forecasting at Sandvik Stationary Crushing & Screening. Authors: Arian Marofkhani and Artur Jusopov Supervisors: Professor Gudrun Kiesmüller, Lund University, Faculty of Engineering, Division of Production Management. Macarena Ribalta, Planning & Logistics Manager, Sandvik Stationary Crushing & Screening. READ MORE
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3. Improving Capital Employed of Indirect Material in Stock within the Process Industry : A Case Study on the Relationship Between Working Capital Optimization and Inventory Management
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : It is essential for companies within the process industry to obtain sufficient inventory of indirect material to gain supply chain resilience. Yet, a capital-intensive company that lack efficient inventory management can generate high levels of tied-up capital. READ MORE
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4. Sentence Embeddings and Automatic Classification of Menu Items
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Caspeco AB is a company in Uppsala that specializes in providing IT solutions to the hospitality industry. Their customers (restaurants, pubs, etc.) classify their menu items freely, which leads to a classification that is often inconsistent and unreliable. READ MORE
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5. Improving Recommendation Systems Using Image Data
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Recommendation systems typically use historical interactions between users and items topredict what other items can be of interest to a user. The recommendations are based onpatterns in how users interact similarly with items. READ MORE