Essays about: "recommendation systems"
Showing result 1 - 5 of 246 essays containing the words recommendation systems.
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1. Exploring the Future of Movie Recommendations : Increasing User Satisfaction using Generative Artificial Intelligence Conversational Agents
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : This thesis explores potential strategies to enhance user control and satisfaction within the movie selection process, with a particular focus on the utilization of conversational generative artificial intelligence, such as ChatGPT, for personalized movie recommendations. The study adopts a qualitative user-centered design thinking approach, aiming to compre-hensively understand user needs, goals, and behavior. READ MORE
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2. 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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3. Varnishing of Fiber-based Closures
University essay from Lunds universitet/FörpackningslogistikAbstract : This research aims to investigate water-based varnishes and technologies to coat fiber-based closures to attain water barrier properties. To ensure recyclability the repulpability of coated and uncoated lids is tested. The research approach is exploratory. READ MORE
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4. Comparison of Recommendation Systems for Auto-scaling in the Cloud Environment
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Cloud computing’s rapid growth has highlighted the need for efficientresource allocation. While cloud platforms offer scalability and cost-effectiveness for a variety of applications, managing resources to match dynamic workloads remains a challenge. READ MORE
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5. Improving customer support efficiency through decision support powered by machine learning
University essay from Linköpings universitet/Programvara och systemAbstract : More and more aspects of today’s healthcare are becoming integrated with medical technology and dependent on medical IT systems, which consequently puts stricter re-quirements on the companies delivering these solutions. As a result, companies delivering medical technology solutions need to spend a lot of resources maintaining high-quality, responsive customer support. READ MORE