Essays about: "User-generated Data"
Showing result 6 - 10 of 77 essays containing the words User-generated Data.
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6. MEDIA USE AND VACCINE HESITANCY - A qualitative study of individuals’ media use and vaccine choice in the covid-19 era
University essay from Göteborgs universitet/Institutionen för journalistik och masskommunikationAbstract : Vaccine hesitancy has long been recognized in separate research disciplines concerning different vaccines and societal contexts to comprehend what factors determine individuals’ vaccine choices. Likewise, communication scholars have distinguished how it is possible to select the information that aligns with pre-existing beliefs – particularly in the high-choice media environment with copious information channels. READ MORE
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7. Transitioning towards the subscription economy - A case study into tech-focused subscription-based business models
University essay from Göteborgs universitet/Graduate SchoolAbstract : More and more firms are moving towards the subscription economy. Incentivized by a promise of lucrative growth and a fear of being left behind, it is estimated that by 2023 75% of organizations will in some way work with subscriptions. READ MORE
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8. Ingredient-based Group Recommender for Recipes (IGR2)
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : The number of food recipe options in modern society is vast and growing. While often being considered positive, the abundant options also lead to the so-called paradox of choice, i.e. that more options can lead to less happiness. READ MORE
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9. Predicting anomalies - Utilising user generated log data to create analytical insights and assist in troubleshooting
University essay from Lunds universitet/Institutionen för datavetenskapAbstract : .... READ MORE
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10. Improvement of the Rucio implementation for the LDCS platform and search for dark data
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : In this work we aim to implement a software package to detect and categorize dark data, data not accessible or not known by the user, generated in the simulations of the Light Dark Matter eXperiment (LDMX). This will involve studying current existing solutions for such problems, attempting to implement them for the Lightweight Distributed Computing System (LDCS), and developing our own Dark Data Search (DDS) toolkit to perform the detection and categorization of the dark data. READ MORE