Essays about: "findings recommendation"
Showing result 1 - 5 of 183 essays containing the words findings recommendation.
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1. CARRY ON WITH CARRION? A wildlife road infrastructure study regarding the effects of ethical justification on policy acceptance
University essay from Göteborgs universitet/Statsvetenskapliga institutionenAbstract : Policy acceptance is an important aspect of compliance and government effectiveness. Political science and psychology researchers have attempted to understand policy acceptance through individual and contextual factors but still cannot explain all attitudinal differences. READ MORE
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2. Analyst Recommendations and Stock Returns Evaluating the performance of Nordic markets based on analyst consensus recommendations, and the impact of MiFID II
University essay fromAbstract : This study evaluates the performance of equity analysts who cover publicly traded stocks in the Nordic markets. To assess their performance, we employ a method that involves creating daily rebalanced portfolios based on the consensus recommendation for each covered company over four years. READ MORE
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3. 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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4. 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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5. 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