Essays about: "thesis in information system evaluation"

Showing result 1 - 5 of 500 essays containing the words thesis in information system evaluation.

1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

   University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Author : Nikolaos Staikos; [2024]
   Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

   Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

3. 2. Designing a reactive feedback feature for end-users in web-based media software

   University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Author : Jessica Dellmar; [2024]
   Keywords : User Feedback; End-user involvement; Usability; Design Thinking; User Experience;

   Abstract : Customer feedback is essential for improving a company's products or services and increasing customer satisfaction. Despite its value, user involvement faces many challenges, such as low user motivation and feedback with missing context information. READ MORE

4. 3. Shifting focus from yields to food supply : an evaluation of the ‘number of people fed per hectare’ indicator at farm and national level

   University essay from SLU/Department of Molecular Sciences

   Author : Ida Ekqvist; [2024]
   Keywords : Land use efficiency; Sustainability indicators; Agricultural productivity; Food production;

   Abstract : The challenge of feeding a growing global population while reducing the pressure on climate and ecosystems has gained much attention in research over the last decades. A crucial yet often overlooked aspect in research addressing this complex challenge is the efficiency of food production in meeting nutritional needs within the constraints of global cropland resources. READ MORE

5. 4. An Empirical Survey of Bandits in an Industrial Recommender System Setting

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Tobias Schwarz; Johan Brandby; [2023-09-21]
   Keywords : computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

   Abstract : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. READ MORE

6. 5. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Ilya Ploshchik; [2023]
   Keywords : Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

   Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE